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Cinema 4D 2026.2 improved viewport rendering performance immensely. Decided to try it with Nvidia’s Attic Scene using Maxon Redshift + the new real-time rendering mode with #DLSS enabled. Nice boost! 🔥

Saul Espinosa

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17,287 просмотров • 6 месяцев назад •via X (Twitter)

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Experimenting with Nvidia’s Attic Scene using Maxon Redshift new Live rendering mode, with #DLSS enabled inside of Houdini’s Solaris. Still early, but lots of potential. 🎉

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The performance of multi-viewport rendering is not different from the single-viewport mode in #Tellusim Engine. It allows using an enormous number of screens/HMDs to a single PC, rendering the same scene using multiple GPUs. A single 2080Ti can easily run 5 2k screens with Google Map Tiles API data.

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Alexander Zapryagaev

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For my 3d simulation I needed to implement new rendering. To replace "sphere par particle" with marching cubes. I never implemented that kind of stuff, so I decided to first try a simplified 2d version, the marching squares. It worked, very fast rendering now.

For my 3d simulation I needed to implement new rendering. To replace "sphere par particle" with marching cubes. I never implemented that kind of stuff, so I decided to first try a simplified 2d version, the marching squares. It worked, very fast rendering now.

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Apparently modders have managed to enable DLSS 5 AI Neural Filters in Control, using a Neural Rendering DLL from NBA 2K27 early access. It seems to be limited to RTX 50 Series for now. Performance impact is about 40% (RTX 5060 drops from 86 fps to 34 fps with NR enabled)

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Real-time video editing is here. SANA-Streaming by @NVIDIA is now live on Reactor. Change the style, the scene, the mood of any video as it plays, with no rendering wait. Try it now:

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Nice presentation how a depth of field effect could be adjusted with visual representation by color using part of the viewport to render useful data - here used in the project by Igor Suntsev: #MadeWithDefold #gamedev #indiedev #rendering #shaders #programming

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Jacob Freeman

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Live link: Built to showcase what's possible with real-time WebGPU rendering using #threejs. Just a 6.3 MB download, yet the lighting looks baked—until you grab the sun and watch everything update in real time. I hope you like it 🤗

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Harness powerful new AI integrations, Cinema 4D native file support, and a new Render Network Cinema 4D Wizard that simplifies sending jobs from Octane and Redshift C4D workflows to unlimited high performance GPUs on the Render Network New Render Network jobs using Flux by Blackforest Labs, Dream Machine by Luma Labs, Runway ML and others are available starting today using Render Credits, with more coming soon: an AI upscaling tools by Topaz Labs,,Skybox 360, an innovative text-to-360 8K HDRI image generator, plus a python-based launcher built to frictionlessly send Generative neural jobs to thousands of concurrent GPUs on the Render Network.

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4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Abstract: We propose 4DGT, a 4D Gaussian-based Transformer model for dynamic scene reconstruction, trained entirely on real-world monocular posed videos. Using 4D Gaussian as an inductive bias, 4DGT unifies static and dynamic components, enabling the modeling of complex, time-varying environments with varying object lifespans. We introduced a novel density control strategy in training, which allows our 4DGT to handle longer space-time input while maintaining efficient rendering at runtime. Our model processes 64 consecutive posed frames in a rolling-window fashion, predicting consistent 4D Gaussians in the scene. Unlike optimization-based methods, 4DGT performs purely feed-forward inference, reducing reconstruction time from hours to seconds and scaling effectively to long video sequences. Trained only on large-scale monocular posed video datasets, 4DGT can significantly outperform prior Gaussian-based networks in real-world videos and achieve on-par accuracy with optimization-based methods on cross-domain videos.

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MrNeRF

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