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GTA 4 reimagined in Russia 👀 For decades, high-end graphics have been about brute-forcing physics. Calculating how light bounces off every surface, every material, every reflection, all in real time. That approach is now hitting a ceiling. A single game frame gets roughly 16 milliseconds of compute. A Hollywood VFX frame can take hours. No amount of raw GPU power was ever going to close that gap. NVIDIA just announced DLSS 5 at GTC, and it marks the clearest shift yet from traditional rendering to neural rendering. Instead of calculating every light interaction from scratch, the system feeds frame data into an AI model that predicts what the scene should look like with photorealistic lighting and materials. The AI handles what brute-force math cannot. Previous DLSS versions focused on performance. DLSS 5 targets visual quality itself. NVIDIA calls it the biggest graphics breakthrough since real-time ray tracing in 2018. The technology is still early and the announcement has been controversial, with critics arguing the AI alters character faces and overrides art direction rather than simply improving fidelity. NVIDIA says developers will have full control over the effect. But the direction is very clear here. We're moving to a future where graphics are no longer just being rendered... they are being predicted. What are your thoughts on this? 🤔💬 — ➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter #ai #artificialintelligence #technology
GTA 4 reimagined in Russia 👀 For decades, high-end graphics have been about brute-forcing physics. Calculating how light bounces off every surface, every material, every reflection, all in real time. That approach is now hitting a ceiling. A single game frame gets roughly 16 milliseconds of compute. A Hollywood VFX frame can take hours. No amount of raw GPU power was ever going to close that gap. NVIDIA just announced DLSS 5 at GTC, and it marks the clearest shift yet from traditional rendering to neural rendering. Instead of calculating every light interaction from scratch, the system feeds frame data into an AI model that predicts what the scene should look like with photorealistic lighting and materials. The AI handles what brute-force math cannot. Previous DLSS versions focused on performance. DLSS 5 targets visual quality itself. NVIDIA calls it the biggest graphics breakthrough since real-time ray tracing in 2018. The technology is still early and the announcement has been controversial, with critics arguing the AI alters character faces and overrides art direction rather than simply improving fidelity. NVIDIA says developers will have full control over the effect. But the direction is very clear here. We're moving to a future where graphics are no longer just being rendered... they are being predicted. What are your thoughts on this? 🤔💬 — ➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter #ai #artificialintelligence #technology
Physics-based rendering is starting to reach its limits, and NVIDIA’s DLSS 5 shows how fast graphics are shifting toward AI-generated realism. For years, top-end graphics depended on brute-force simulation, calculating how light rays bounce and interact in real time. That approach can produce incredibly realistic results, but it also demands massive computing power and increasingly expensive hardware. Now, the industry is beginning to move beyond that model. DLSS has grown far past basic upscaling. Instead of fully rendering every frame at native quality, the GPU produces a lower-resolution version and lets AI running on NVIDIA’s Tensor Cores reconstruct it into a sharper, more detailed final image. What makes this so important is that graphics are no longer only being rendered in the traditional sense. They are increasingly being generated. The AI is not just filling in missing pixels, it is predicting what the final scene should look like and turning limited visual input into something that appears strikingly real. That shift could reshape the future of computer graphics. Instead of relying only on raw computational force to simulate every detail, developers can increasingly use AI to create realism more efficiently. The result is a future where visual fidelity may depend less on brute power and more on intelligent generation. Follow @theaifield for daily AI updates 🎥: marmaduke091 | X
Physics-based rendering is starting to reach its limits, and NVIDIA’s DLSS 5 shows how fast graphics are shifting toward AI-generated realism. For years, top-end graphics depended on brute-force simulation, calculating how light rays bounce and interact in real time. That approach can produce incredibly realistic results, but it also demands massive computing power and increasingly expensive hardware. Now, the industry is beginning to move beyond that model. DLSS has grown far past basic upscaling. Instead of fully rendering every frame at native quality, the GPU produces a lower-resolution version and lets AI running on NVIDIA’s Tensor Cores reconstruct it into a sharper, more detailed final image. What makes this so important is that graphics are no longer only being rendered in the traditional sense. They are increasingly being generated. The AI is not just filling in missing pixels, it is predicting what the final scene should look like and turning limited visual input into something that appears strikingly real. That shift could reshape the future of computer graphics. Instead of relying only on raw computational force to simulate every detail, developers can increasingly use AI to create realism more efficiently. The result is a future where visual fidelity may depend less on brute power and more on intelligent generation. Follow @theaifield for daily AI updates 🎥: marmaduke091 | X
🧠⚡ NVIDIA DLSS 5 just changed gaming graphics forever; real-time AI rendering is here. NVIDIA just gave AI the job that once took Hollywood hours, and now it happens in milliseconds. This is DLSS 5, revealed at GTC 2026, a real-time neural rendering breakthrough. Instead of traditionally rendering every pixel, AI now understands motion and color data and creates photorealistic lighting, skin details, fabric textures, and hair interactions instantly. And here’s the wild part: None of it is actually rendered the old way. The AI generates everything frame by frame, perfectly synced to the 3D world, meaning what once took minutes (or hours in VFX) now fits inside a 16 ms game frame. Let that sink in. We’re not just improving graphics anymore… We’re redefining how reality is built inside games. DLSS 4.5 already used AI for most pixels. DLSS 5 flips the goal entirely: from performance to true realism. This isn’t just an upgrade. This is the moment games start looking indistinguishable from reality. 💡 Micro insight: The future of graphics won’t be “rendered”… it will be predicted. If you care about AI, gaming, or the future of visuals, this is your signal to pay attention. What’s your honest take on this? 🤔💬 🎥: (@nvidia) Follow @futuring.ai to master AI before everyone else 🚀⚡ #ai #technology #gaming #nvidia #graphicstechnology
🧠⚡ NVIDIA DLSS 5 just changed gaming graphics forever; real-time AI rendering is here. NVIDIA just gave AI the job that once took Hollywood hours, and now it happens in milliseconds. This is DLSS 5, revealed at GTC 2026, a real-time neural rendering breakthrough. Instead of traditionally rendering every pixel, AI now understands motion and color data and creates photorealistic lighting, skin details, fabric textures, and hair interactions instantly. And here’s the wild part: None of it is actually rendered the old way. The AI generates everything frame by frame, perfectly synced to the 3D world, meaning what once took minutes (or hours in VFX) now fits inside a 16 ms game frame. Let that sink in. We’re not just improving graphics anymore… We’re redefining how reality is built inside games. DLSS 4.5 already used AI for most pixels. DLSS 5 flips the goal entirely: from performance to true realism. This isn’t just an upgrade. This is the moment games start looking indistinguishable from reality. 💡 Micro insight: The future of graphics won’t be “rendered”… it will be predicted. If you care about AI, gaming, or the future of visuals, this is your signal to pay attention. What’s your honest take on this? 🤔💬 🎥: (@nvidia) Follow @futuring.ai to master AI before everyone else 🚀⚡ #ai #technology #gaming #nvidia #graphicstechnology
NVIDIA just pushed graphics into a new era. 🧠⚡️ At GTC 2026, they unveiled DLSS 5 — a real-time neural rendering system that redefines how visuals are created. Instead of traditionally rendering every detail, DLSS 5 takes raw frame data and uses AI to *generate* photoreal lighting, skin detail, fabric textures, and hair interactions — all within milliseconds. The result stays consistent with the 3D scene, frame by frame, like true rendering… but far faster. 🎮 To put it into perspective: a Hollywood VFX frame can take minutes or even hours to render. A game has about 16 milliseconds per frame. DLSS 5 essentially bridges that gap. Earlier versions like DLSS 4.5 already used AI to generate most of the pixels on screen. But DLSS 5 shifts the focus from just performance to *cinematic-level quality in real time*. Jensen Huang even called it the “GPT moment for graphics.” The demo ran on dual RTX 5090 GPUs — but at launch, it’s expected to run on a single card. If this keeps evolving, the line between real-time graphics and movie-level visuals might disappear completely. 🎬✨ Follow @futureai.facts for more mind-blowing AI updates 🤖
NVIDIA just pushed graphics into a new era. 🧠⚡️ At GTC 2026, they unveiled DLSS 5 — a real-time neural rendering system that redefines how visuals are created. Instead of traditionally rendering every detail, DLSS 5 takes raw frame data and uses AI to *generate* photoreal lighting, skin detail, fabric textures, and hair interactions — all within milliseconds. The result stays consistent with the 3D scene, frame by frame, like true rendering… but far faster. 🎮 To put it into perspective: a Hollywood VFX frame can take minutes or even hours to render. A game has about 16 milliseconds per frame. DLSS 5 essentially bridges that gap. Earlier versions like DLSS 4.5 already used AI to generate most of the pixels on screen. But DLSS 5 shifts the focus from just performance to *cinematic-level quality in real time*. Jensen Huang even called it the “GPT moment for graphics.” The demo ran on dual RTX 5090 GPUs — but at launch, it’s expected to run on a single card. If this keeps evolving, the line between real-time graphics and movie-level visuals might disappear completely. 🎬✨ Follow @futureai.facts for more mind-blowing AI updates 🤖
Physics-based rendering is hitting a wall, NVIDIA DLSS 5 is now using AI to synthesize reality instead of rendering it For years, high-end graphics relied on brute-force physics, calculating how every ray of light behaves in real time. It delivered realism, but at a huge cost in performance and hardware. Now, that approach is starting to hit its limits. NVIDIA’s DLSS has evolved far beyond simple upscaling. Instead of rendering everything in full detail, your GPU creates a lower-quality frame and hands it to AI running on Tensor Cores, which rebuilds it into a sharp, high-resolution image. What this really means is we’re no longer just rendering scenes, we’re generating them. The AI predicts what the final image should look like, turning rough input into something that feels almost real. This shift changes everything. We move from simulating every detail to letting AI handle realism, opening the door to a future where graphics are driven more by intelligence than raw computation. 🎥: marmaduke091 | X #nvidia #dlss #ai #gaming #pcgaming #rtx #graphicscard #gpu #artificialintelligence #neuralrendering #raytracing #machinelearning #technology #pcgamer #gamingpc #nextgen #innovation #futureofgaming #rendering #3d #gamedev #unrealengine #gamers #pcmasterrace #techbreakthrough #airendering #tensorcores #photorealistic #revolution #gamechanger
Physics-based rendering is hitting a wall, NVIDIA DLSS 5 is now using AI to synthesize reality instead of rendering it For years, high-end graphics relied on brute-force physics, calculating how every ray of light behaves in real time. It delivered realism, but at a huge cost in performance and hardware. Now, that approach is starting to hit its limits. NVIDIA’s DLSS has evolved far beyond simple upscaling. Instead of rendering everything in full detail, your GPU creates a lower-quality frame and hands it to AI running on Tensor Cores, which rebuilds it into a sharp, high-resolution image. What this really means is we’re no longer just rendering scenes, we’re generating them. The AI predicts what the final image should look like, turning rough input into something that feels almost real. This shift changes everything. We move from simulating every detail to letting AI handle realism, opening the door to a future where graphics are driven more by intelligence than raw computation. 🎥: marmaduke091 | X #nvidia #dlss #ai #gaming #pcgaming #rtx #graphicscard #gpu #artificialintelligence #neuralrendering #raytracing #machinelearning #technology #pcgamer #gamingpc #nextgen #innovation #futureofgaming #rendering #3d #gamedev #unrealengine #gamers #pcmasterrace #techbreakthrough #airendering #tensorcores #photorealistic #revolution #gamechanger
NVIDIA just called something “the GPT moment for graphics.” That’s a bold claim. But the company might actually be right. For decades, computer graphics improved the same way: more compute, better rendering techniques, faster GPUs. Now NVIDIA is taking a different approach. They’re letting AI generate the pixels. NVIDIA unveiled DLSS 5, its biggest graphics breakthrough since real-time ray tracing launched in 2018. And it could fundamentally change how games are rendered. Instead of relying purely on traditional rendering pipelines, DLSS 5 uses a neural model that enhances each frame in real time. The system analyzes a frame’s color and motion vectors, then uses AI to generate photoreal lighting, materials, and textures. The goal: Make real-time graphics look closer to Hollywood visual effects. The AI understands elements like: ▫️ Hair and fabric ▫️ Subsurface skin scattering ▫️ Light interaction with materials ▫️ Environmental lighting conditions And if Jensen Huang is right, DLSS 5 could be remembered as the moment AI officially entered the graphics engine.
NVIDIA just called something “the GPT moment for graphics.” That’s a bold claim. But the company might actually be right. For decades, computer graphics improved the same way: more compute, better rendering techniques, faster GPUs. Now NVIDIA is taking a different approach. They’re letting AI generate the pixels. NVIDIA unveiled DLSS 5, its biggest graphics breakthrough since real-time ray tracing launched in 2018. And it could fundamentally change how games are rendered. Instead of relying purely on traditional rendering pipelines, DLSS 5 uses a neural model that enhances each frame in real time. The system analyzes a frame’s color and motion vectors, then uses AI to generate photoreal lighting, materials, and textures. The goal: Make real-time graphics look closer to Hollywood visual effects. The AI understands elements like: ▫️ Hair and fabric ▫️ Subsurface skin scattering ▫️ Light interaction with materials ▫️ Environmental lighting conditions And if Jensen Huang is right, DLSS 5 could be remembered as the moment AI officially entered the graphics engine.
NVIDIA just handed AI a job that used to take entire Hollywood render farms hours to finish… and it now does it in milliseconds. This is DLSS 5, unveiled at GTC 2026. Instead of traditionally rendering every detail, it takes raw frame data and motion vectors, then uses a neural model to generate photoreal lighting, skin detail, fabric textures, and even the way light interacts with hair. None of those details are rendered the old way. The AI creates them instantly, while staying perfectly locked to the scene from frame to frame. To put it into perspective, a single VFX frame in Hollywood can take minutes or even hours to process. A game only has about 16 milliseconds per frame. DLSS 5 bridges that gap. The previous version already relied heavily on AI, generating most of the pixels you see. But this isn’t just about performance anymore — it’s about pushing visual quality to a level that wasn’t possible in real time. NVIDIA’s CEO, Jensen Huang, called it the “GPT moment for graphics.” And if this is what AI can do now, the future of gaming is about to look very different. Love Technology? Follow @peakmodetv Media: @nvidia DLSS 5 Off #technology #nvidia #gaming #ai #graphicstechnology🎮✨
NVIDIA just handed AI a job that used to take entire Hollywood render farms hours to finish… and it now does it in milliseconds. This is DLSS 5, unveiled at GTC 2026. Instead of traditionally rendering every detail, it takes raw frame data and motion vectors, then uses a neural model to generate photoreal lighting, skin detail, fabric textures, and even the way light interacts with hair. None of those details are rendered the old way. The AI creates them instantly, while staying perfectly locked to the scene from frame to frame. To put it into perspective, a single VFX frame in Hollywood can take minutes or even hours to process. A game only has about 16 milliseconds per frame. DLSS 5 bridges that gap. The previous version already relied heavily on AI, generating most of the pixels you see. But this isn’t just about performance anymore — it’s about pushing visual quality to a level that wasn’t possible in real time. NVIDIA’s CEO, Jensen Huang, called it the “GPT moment for graphics.” And if this is what AI can do now, the future of gaming is about to look very different. Love Technology? Follow @peakmodetv Media: @nvidia DLSS 5 Off #technology #nvidia #gaming #ai #graphicstechnology🎮✨
Physics-based rendering is reaching its limits, as realism demands more power than hardware can efficiently provide. For years, graphics relied on calculating how light behaves in real time, delivering stunning visuals but at a heavy performance cost. NVIDIA DLSS 5 takes a different path by using AI instead of brute-force rendering. The GPU creates a lower-quality frame, and AI rebuilds it into a sharp, high-resolution image, effectively predicting what the final result should look like. This marks a major shift in graphics, where we are no longer just rendering scenes but generating them through intelligence. The future may depend less on raw computing power and more on how well AI can recreate reality. Credit: marmaduke091 on X #ai #artificialintelligence #gaming #nvidia #technology
Physics-based rendering is reaching its limits, as realism demands more power than hardware can efficiently provide. For years, graphics relied on calculating how light behaves in real time, delivering stunning visuals but at a heavy performance cost. NVIDIA DLSS 5 takes a different path by using AI instead of brute-force rendering. The GPU creates a lower-quality frame, and AI rebuilds it into a sharp, high-resolution image, effectively predicting what the final result should look like. This marks a major shift in graphics, where we are no longer just rendering scenes but generating them through intelligence. The future may depend less on raw computing power and more on how well AI can recreate reality. Credit: marmaduke091 on X #ai #artificialintelligence #gaming #nvidia #technology
NVIDIA handed AI the job that took Hollywood render farms hours to do. 🧠 ⚡️ This is NVIDIA DLSS 5, unveiled today at GTC 2026. It is a real-time neural rendering model that takes each game frame's raw color data and motion vectors as input, then uses an AI model to inject photoreal lighting, subsurface scattering on skin, precise fabric sheen, and light-material interactions on hair. None of that is traditionally rendered. The AI generates it within milliseconds, anchored to the 3D scene so it stays consistent frame to frame. To understand why this is significant: a Hollywood VFX frame can take minutes or hours to render. A real-time game frame has roughly 16 milliseconds. DLSS 5 collapses the gap between those two worlds. The previous version, DLSS 4.5, already used AI to draw 23 out of every 24 pixels on screen for performance. DLSS 5 shifts the goal entirely from speed to fidelity. NVIDIA CEO Jensen Huang called it "the GPT moment for graphics." The demo seen here required two RTX 5090 GPUs. At launch this Fall, it will run on one. Love Technology? Follow Wealth 🌟 Media: nvidia #technology #nvidia #gaming #ai #graphicstechnology
NVIDIA handed AI the job that took Hollywood render farms hours to do. 🧠 ⚡️ This is NVIDIA DLSS 5, unveiled today at GTC 2026. It is a real-time neural rendering model that takes each game frame's raw color data and motion vectors as input, then uses an AI model to inject photoreal lighting, subsurface scattering on skin, precise fabric sheen, and light-material interactions on hair. None of that is traditionally rendered. The AI generates it within milliseconds, anchored to the 3D scene so it stays consistent frame to frame. To understand why this is significant: a Hollywood VFX frame can take minutes or hours to render. A real-time game frame has roughly 16 milliseconds. DLSS 5 collapses the gap between those two worlds. The previous version, DLSS 4.5, already used AI to draw 23 out of every 24 pixels on screen for performance. DLSS 5 shifts the goal entirely from speed to fidelity. NVIDIA CEO Jensen Huang called it "the GPT moment for graphics." The demo seen here required two RTX 5090 GPUs. At launch this Fall, it will run on one. Love Technology? Follow Wealth 🌟 Media: nvidia #technology #nvidia #gaming #ai #graphicstechnology
1. Major breakthrough in graphics 🚀 NVIDIA announced DLSS 5, calling it their most significant graphics innovation since real-time ray tracing in 2018. 🌟 It uses a real-time neural rendering model to add photorealistic lighting and material details to games. ✨ 2. “GPT moment for graphics” 🎮 Jensen Huang describes DLSS 5 as blending traditional rendering with generative AI. 💡 It aims to bring video game graphics closer to Hollywood VFX quality while keeping artist control intact. 🎬 3. How DLSS 5 works 🛠️ Takes each frame’s color and motion vectors as inputs. ➡️ Uses AI to enhance lighting, materials, textures, skin, hair, and fabric realistically. 🎨 Works deterministically (no random changes between frames) and in real time up to 4K. ⏱️ The model understands scene semantics (lighting conditions, materials, character details) from a single frame. 🧠 4. Artistic control & integration 🖌️ Developers get control over intensity, color grading, masking, and where the enhancements apply. 🎛️ Integrates through NVIDIA Streamline, just like previous DLSS versions. 🔗. 5. Industry support Supported by major publishers and studios: Bethesda, CAPCOM, Ubisoft, Tencent, Warner Bros, and others. 🎮🏢 Studios praise DLSS 5 for improving immersion, lighting, and detail. 🤩✨ 6. Supported games DLSS 5 is coming to many major titles, including: 🚀 Starfield 🌌 Assassin’s Creed Shadows 🗡️ Resident Evil Requiem 🧟 Hogwarts Legacy 🧙‍♀️ The Elder Scrolls IV: Oblivion Remastered 🐉 And more ➕ 7. Release DLSS 5 will launch this Fall. 🍂🗓️ First previews shown at NVIDIA GTC 2026. 💻 expo
1. Major breakthrough in graphics 🚀 NVIDIA announced DLSS 5, calling it their most significant graphics innovation since real-time ray tracing in 2018. 🌟 It uses a real-time neural rendering model to add photorealistic lighting and material details to games. ✨ 2. “GPT moment for graphics” 🎮 Jensen Huang describes DLSS 5 as blending traditional rendering with generative AI. 💡 It aims to bring video game graphics closer to Hollywood VFX quality while keeping artist control intact. 🎬 3. How DLSS 5 works 🛠️ Takes each frame’s color and motion vectors as inputs. ➡️ Uses AI to enhance lighting, materials, textures, skin, hair, and fabric realistically. 🎨 Works deterministically (no random changes between frames) and in real time up to 4K. ⏱️ The model understands scene semantics (lighting conditions, materials, character details) from a single frame. 🧠 4. Artistic control & integration 🖌️ Developers get control over intensity, color grading, masking, and where the enhancements apply. 🎛️ Integrates through NVIDIA Streamline, just like previous DLSS versions. 🔗. 5. Industry support Supported by major publishers and studios: Bethesda, CAPCOM, Ubisoft, Tencent, Warner Bros, and others. 🎮🏢 Studios praise DLSS 5 for improving immersion, lighting, and detail. 🤩✨ 6. Supported games DLSS 5 is coming to many major titles, including: 🚀 Starfield 🌌 Assassin’s Creed Shadows 🗡️ Resident Evil Requiem 🧟 Hogwarts Legacy 🧙‍♀️ The Elder Scrolls IV: Oblivion Remastered 🐉 And more ➕ 7. Release DLSS 5 will launch this Fall. 🍂🗓️ First previews shown at NVIDIA GTC 2026. 💻 expo
Hollywood VFX used to take hours per frame. Now it happens in milliseconds. ⚡ Introducing DLSS 5 — NVIDIA’s real-time neural rendering leap. Instead of traditionally rendering lighting, skin, fabric, and hair… AI *creates it on the fly* using raw frame data + motion vectors. 🤯 ✨ Photoreal lighting ✨ Skin subsurface scattering ✨ Fabric sheen ✨ Hair-light interaction All generated instantly — and locked perfectly to the scene. To put it in perspective: 🎬 Hollywood → minutes to hours per frame 🎮 Games → ~16 milliseconds DLSS 5 just erased that gap. Even DLSS 4.5 was already insane (AI generating 23/24 pixels). But DLSS 5? It’s not about speed anymore — it’s about **true realism**. Jensen Huang called it: “the GPT moment for graphics.” 🚀 Demo ran on dual RTX 5090s… At launch this fall? Just one. 👀 🎥: nvidia Follow us for more AI updates 😉 #ai #technology #nvidia #gaming #reels
Hollywood VFX used to take hours per frame. Now it happens in milliseconds. ⚡ Introducing DLSS 5 — NVIDIA’s real-time neural rendering leap. Instead of traditionally rendering lighting, skin, fabric, and hair… AI *creates it on the fly* using raw frame data + motion vectors. 🤯 ✨ Photoreal lighting ✨ Skin subsurface scattering ✨ Fabric sheen ✨ Hair-light interaction All generated instantly — and locked perfectly to the scene. To put it in perspective: 🎬 Hollywood → minutes to hours per frame 🎮 Games → ~16 milliseconds DLSS 5 just erased that gap. Even DLSS 4.5 was already insane (AI generating 23/24 pixels). But DLSS 5? It’s not about speed anymore — it’s about **true realism**. Jensen Huang called it: “the GPT moment for graphics.” 🚀 Demo ran on dual RTX 5090s… At launch this fall? Just one. 👀 🎥: nvidia Follow us for more AI updates 😉 #ai #technology #nvidia #gaming #reels
Gaming just changed forever. NVIDIA today unveiled NVIDIA DLSS 5, the company’s most significant breakthrough in computer graphics since the debut of real-time ray tracing in 2018. DLSS 5 introduces a real-time neural rendering model that infuses pixels with photoreal lighting and materials. Bridging the divide between rendering and reality, DLSS 5 empowers game developers to deliver a new level of photoreal computer graphics previously only achieved in Hollywood visual effects. “Twenty-five years after NVIDIA invented the programmable shader, we are reinventing computer graphics once again,” said Jensen Huang, founder and CEO of NVIDIA. “DLSS 5 is the GPT moment for graphics — blending hand-crafted rendering with generative AI to deliver a dramatic leap in visual realism while preserving the control artists need for creative expression.” #ai #generativeai
Gaming just changed forever. NVIDIA today unveiled NVIDIA DLSS 5, the company’s most significant breakthrough in computer graphics since the debut of real-time ray tracing in 2018. DLSS 5 introduces a real-time neural rendering model that infuses pixels with photoreal lighting and materials. Bridging the divide between rendering and reality, DLSS 5 empowers game developers to deliver a new level of photoreal computer graphics previously only achieved in Hollywood visual effects. “Twenty-five years after NVIDIA invented the programmable shader, we are reinventing computer graphics once again,” said Jensen Huang, founder and CEO of NVIDIA. “DLSS 5 is the GPT moment for graphics — blending hand-crafted rendering with generative AI to deliver a dramatic leap in visual realism while preserving the control artists need for creative expression.” #ai #generativeai
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