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From Rasterization ➡️ Ray Tracing ➡️ Path Tracing, render engines have leaped forward. A new rendering paradigm, Generative Rendering, might have chance to revolutionize it all again. #CG #b3d #GenerativeAI

Hyper3D by Deemos

15,091 subscribers

50,866 次观看 • 1 年前 •via X (Twitter)

科学技术 #CG #b3d #GenerativeAI

Anya Rossi• Live Now

Private livecam show

9 条评论

Allen T. 的头像

Allen T.1 年前

Sheesh, this looks awesome. Excited for this one

Deemos🔜GDC 的头像

Deemos🔜GDC1 年前

Thanks Allen!

Tom Blake 的头像

Tom Blake1 年前

Wow, this looks next-level impressive!

Livenda Labs 的头像

Livenda Labs1 年前

Please guys concentrate on this, this IS THE FUTURE, you will be at the forefront if done correctly

Redfill Production 的头像

Redfill Production1 年前

Is it possible for it to use like the textures inside of blender and have neural rendering on top of that?

Deemos🔜GDC 的头像

Deemos🔜GDC1 年前

Yea of course. You can based on the texture to generate shader frame

Hayzweb 🐞 $Kaisar $Reddio (✸,✸) 的头像

Hayzweb 🐞 $Kaisar $Reddio (✸,✸)1 年前

When public?

Deemos🔜GDC 的头像

Deemos🔜GDC1 年前

Late this year

Cr4zy3y3z 的头像

Cr4zy3y3z1 年前

I really hope I get into the beta for this.

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$Spatial AI is increasingly important, and the newest papers from #NVIDIAResearch, 3DGRT and 3DGUT, represent significant advancements in enabling researchers and developers to explore and innovate with 3D Gaussian Splatting techniques. 💎 3DGRT (Gaussian Ray Tracing) ➡️ - Enables secondary lighting effects such as refractions, shadows, depth of field, and mirrors. - Provides a foundation for further research in ray tracing-based rendering of Gaussian representations. - Achieves real-time rendering performance on modern GPUs. ✨ 3DGUT (Gaussain Unscented Transform) ➡️ - Support for distorted camera models and time-dependent effects like rolling shutter. - Enables phenomena such as reflections and refractions while retaining real-time efficiency. 📥 Code:$

Spatial AI is increasingly important, and the newest papers from #NVIDIAResearch, 3DGRT and 3DGUT, represent significant advancements in enabling researchers and developers to explore and innovate with 3D Gaussian Splatting techniques. 💎 3DGRT (Gaussian Ray Tracing) ➡️ - Enables secondary lighting effects such as refractions, shadows, depth of field, and mirrors. - Provides a foundation for further research in ray tracing-based rendering of Gaussian representations. - Achieves real-time rendering performance on modern GPUs. ✨ 3DGUT (Gaussain Unscented Transform) ➡️ - Support for distorted camera models and time-dependent effects like rolling shutter. - Enables phenomena such as reflections and refractions while retaining real-time efficiency. 📥 Code:

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Unlike ray tracing or path tracing, which require additional runtime computation, this lighting is based on implied patterns, so it incurs the same cost as generating a scene without lighting. As these pattern interpreters scale to recognize more complex patterns, we'll achieve more and better implied interactions essentially for 'free' with each generation. What’s even better is that once we start working with scenes composed of tokenized assets or dynamic neural assets, we’ll have greater control than with traditional pipelines. Moreover, instead of starting with isolated objects and having to apply interactions manually, we'll have assets that naturally interact with their environment unless we explicitly specify otherwise.

Unlike ray tracing or path tracing, which require additional runtime computation, this lighting is based on implied patterns, so it incurs the same cost as generating a scene without lighting. As these pattern interpreters scale to recognize more complex patterns, we'll achieve more and better implied interactions essentially for 'free' with each generation. What’s even better is that once we start working with scenes composed of tokenized assets or dynamic neural assets, we’ll have greater control than with traditional pipelines. Moreover, instead of starting with isolated objects and having to apply interactions manually, we'll have assets that naturally interact with their environment unless we explicitly specify otherwise.

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From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.

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