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    NVIDIA VP Comments on DLSS 5 Neural Rendering

    NVIDIA executive Bryan Catanzaro comments on DLSS 5 in a post linking to the company's announcement.

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    19 Sources, 29d ago, first seen 29d ago

    TLDR

    Bryan Catanzaro, NVIDIA's VP of Applied Deep Learning Research, posted that DLSS 5 Neural Rendering marks progress in real-time graphics after a decade of work. He described it as controllable, consistent, and fast, and expressed interest in how game developers will use it. The post links to a YouTube video titled DLSS 5 | Introducing 3D-Guided Neural Rendering and to an NVIDIA page stating that DLSS 5 introduces 3D-Guided Neural Rendering to add lifelike lighting and materials to game scenes with AI.

    Combined views

    187K

    19 Sources, first seen 29d ago

    Combined views

    187K

    19 Sources, first seen 29d ago

    1.7K likes
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    1.7K likes
    157 comments
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    167 reposts

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    157 comments
    262 saves
    167 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    19 Sources

    @ctnzrDLSS 5 Neural Rendering is a huge step towards the future of real-time graphics and the realization of 10 years of research. It is controllable, consistent, and fast, and I can’t wait to see what game developers accomplish with this new tool. https://youtu.be/58FagrSqC4M
    @wccftechNVIDIA DLSS 5 is the biggest leap in rendering since 3D itself, powered by neural technology to deliver lifelike lighting and materials that uplift visuals unlike anything you've seen before. 🔗 https://wccf.tech/1l5qt
    @edliu1105We’re publishing a deeper technical report on why generation is needed for the next leap toward photorealism. VRAM and compute limit both the scene abstraction and the number of rays we can afford. Previous DLSS reconstructs from that representation—so even perfect reconstruction is still bounded by what the scene contains. DLSS 5 is the first DLSS to generate beyond that abstraction and break through that ceiling, while staying grounded in the game and controlled by the artist. We also compare it with offline generative models and renderers at similar scaling cost. https://research.nvidia.com/labs/adlr/DLSS5/
    @PellyNVAn absolutely monumental effort from an amazing team to bring this technology to the hands of gamers. I couldn't be more excited for gamers to see what game developers and artists will be capable of with this! Extremely proud to be a part of this team.
    @compusembleImpressive what NVIDIA has accomplished with DLSS 5. It's able to produce similar or greater photorealism than some of the best offline models (GPT Image 2 & Gemini 3 Pro) while preserving artistic intent significantly better, and it does so in real-time. https://research.nvidia.com/labs/adlr/files/DLSS5_Report.pdf
    @Coding_BlackI feel incredibly lucky that my first project after finishing my PhD became #DLSS5. In my first 1:1 with @edliu1105, I created this slide to show what I believed next-generation rendering could become. For me, this was the beginning of the journey. My North Star for rendering has always been a world indistinguishable from footage captured by a real camera. The realism upper bound for existing #DLSS is path tracing (PT). PT can faithfully simulate the scene we describe—but that scene remains an approximation of the real world. As a result, it still looks fake, plastic, far from visually realistic in most of the current gaming. The rise of generative models opened a complementary path. Early results gave us enough signal to pursue a belief: learned real-world appearance priors could work with physically based rendering—not replace it—to move beyond this ceiling. DLSS 5 is our first step: a generative video model that operates in real time at up to 4K while remaining grounded in the authored scene. Getting here took years. Skepticism pushed us to clarify the idea, strengthen the system, and make the evidence more rigorous. I’m deeply grateful for the leadership of @edliu1105, @drewtao and @ctnzr, and for our team’s extraordinary execution. I’m proud that we have demonstrated a new research and design space in graphics rendering—one that deserves much more exploration. If you work in graphics, vision, or generative models, I hope you’ll read our technical report and join us in exploring it.
    @firstadopterHey Nvidia @NVIDIAGeForce how about doing us a solid and enabling DLSS 5 on the 4090? I’d strongly prefer not having to spend 5 large on a 5090. Thanks.
    @WeiX1762273🚀🚀 We officially release DLSS 5, a real-time, 3D-guided neural rendering stage that transforms rendered frames into vivid, realistic scenes while preserving developer-authored content and design intent. To achieve both enhanced realism and real-time rendering at up to 4K resolution, we develop a one-step pixel-space diffusion model. Compared with offline foundation models such as GPT Image 2 and Gemini 3 Pro, DLSS 5 delivers strong realism while much more faithfully preserving the input content, identity, and scene structure. Looking ahead, we’re continuing to push on realism, controllability, temporal stability, and efficiency. Stay tuned! Check out our technical report for more on how we think about generative modeling for gaming: https://research.nvidia.com/labs/adlr/files/DLSS5_Report.pdf I feel excited to finally see DLSS 5 released! As a researcher working on visual generative modeling, it’s especially meaningful to see our fundamental research make its way into a real product. This has actually been a very special journey for me—from exploring research ideas, to building our first working prototype, and then working closely with the team to turn the research, step by step, into DLSS 5. Proud of what our team has accomplished! We’d love to hear your thoughts on how we can continue improving the technology and where generative rendering can take the future of gaming. Discussions are very welcome!
    @juztADudeeHere it is. The official developer-built release of DLSS 5 with full artistic intent. DLSS OFF genuinely looks like Low textures, while DLSS ON looks like Ultra textures. NBA 2k27
    @tunguzWow

    19 Sources

    @ctnzrDLSS 5 Neural Rendering is a huge step towards the future of real-time graphics and the realization of 10 years of research. It is controllable, consistent, and fast, and I can’t wait to see what game developers accomplish with this new tool. https://youtu.be/58FagrSqC4M
    @wccftechNVIDIA DLSS 5 is the biggest leap in rendering since 3D itself, powered by neural technology to deliver lifelike lighting and materials that uplift visuals unlike anything you've seen before. 🔗 https://wccf.tech/1l5qt
    @edliu1105We’re publishing a deeper technical report on why generation is needed for the next leap toward photorealism. VRAM and compute limit both the scene abstraction and the number of rays we can afford. Previous DLSS reconstructs from that representation—so even perfect reconstruction is still bounded by what the scene contains. DLSS 5 is the first DLSS to generate beyond that abstraction and break through that ceiling, while staying grounded in the game and controlled by the artist. We also compare it with offline generative models and renderers at similar scaling cost. https://research.nvidia.com/labs/adlr/DLSS5/
    @PellyNVAn absolutely monumental effort from an amazing team to bring this technology to the hands of gamers. I couldn't be more excited for gamers to see what game developers and artists will be capable of with this! Extremely proud to be a part of this team.
    @compusembleImpressive what NVIDIA has accomplished with DLSS 5. It's able to produce similar or greater photorealism than some of the best offline models (GPT Image 2 & Gemini 3 Pro) while preserving artistic intent significantly better, and it does so in real-time. https://research.nvidia.com/labs/adlr/files/DLSS5_Report.pdf
    @Coding_BlackI feel incredibly lucky that my first project after finishing my PhD became #DLSS5. In my first 1:1 with @edliu1105, I created this slide to show what I believed next-generation rendering could become. For me, this was the beginning of the journey. My North Star for rendering has always been a world indistinguishable from footage captured by a real camera. The realism upper bound for existing #DLSS is path tracing (PT). PT can faithfully simulate the scene we describe—but that scene remains an approximation of the real world. As a result, it still looks fake, plastic, far from visually realistic in most of the current gaming. The rise of generative models opened a complementary path. Early results gave us enough signal to pursue a belief: learned real-world appearance priors could work with physically based rendering—not replace it—to move beyond this ceiling. DLSS 5 is our first step: a generative video model that operates in real time at up to 4K while remaining grounded in the authored scene. Getting here took years. Skepticism pushed us to clarify the idea, strengthen the system, and make the evidence more rigorous. I’m deeply grateful for the leadership of @edliu1105, @drewtao and @ctnzr, and for our team’s extraordinary execution. I’m proud that we have demonstrated a new research and design space in graphics rendering—one that deserves much more exploration. If you work in graphics, vision, or generative models, I hope you’ll read our technical report and join us in exploring it.
    @firstadopterHey Nvidia @NVIDIAGeForce how about doing us a solid and enabling DLSS 5 on the 4090? I’d strongly prefer not having to spend 5 large on a 5090. Thanks.
    @WeiX1762273🚀🚀 We officially release DLSS 5, a real-time, 3D-guided neural rendering stage that transforms rendered frames into vivid, realistic scenes while preserving developer-authored content and design intent. To achieve both enhanced realism and real-time rendering at up to 4K resolution, we develop a one-step pixel-space diffusion model. Compared with offline foundation models such as GPT Image 2 and Gemini 3 Pro, DLSS 5 delivers strong realism while much more faithfully preserving the input content, identity, and scene structure. Looking ahead, we’re continuing to push on realism, controllability, temporal stability, and efficiency. Stay tuned! Check out our technical report for more on how we think about generative modeling for gaming: https://research.nvidia.com/labs/adlr/files/DLSS5_Report.pdf I feel excited to finally see DLSS 5 released! As a researcher working on visual generative modeling, it’s especially meaningful to see our fundamental research make its way into a real product. This has actually been a very special journey for me—from exploring research ideas, to building our first working prototype, and then working closely with the team to turn the research, step by step, into DLSS 5. Proud of what our team has accomplished! We’d love to hear your thoughts on how we can continue improving the technology and where generative rendering can take the future of gaming. Discussions are very welcome!
    @juztADudeeHere it is. The official developer-built release of DLSS 5 with full artistic intent. DLSS OFF genuinely looks like Low textures, while DLSS ON looks like Ultra textures. NBA 2k27
    @tunguzWow