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Neural Rendering

Depth-supervised NeRF: Achieve High-Quality 3D Reconstruction from Fewer Views and Faster Training—Using Only “Free” Depth from Standard Photogrammetry Pipelines 774

Neural Radiance Fields (NeRF) have revolutionized photorealistic 3D scene reconstruction—but they come with well-known limitations. One major pain point: when…

01/09/20263D Reconstruction, Geometric Deep Learning, Neural Rendering
3DGUT: Real-Time 3D Reconstruction That Handles Distorted Cameras and Reflections Without Sacrificing Speed

3DGUT: Real-Time 3D Reconstruction That Handles Distorted Cameras and Reflections Without Sacrificing Speed 1743

3D Gaussian Splatting (3DGS) revolutionized real-time 3D scene reconstruction by delivering photorealistic quality at high frame rates on consumer GPUs.…

12/22/20253D Reconstruction, Neural Rendering, Real-time Rendering
EasyVolcap: Streamline Neural Volumetric Video Research with a Unified, Real-Time PyTorch Framework

EasyVolcap: Streamline Neural Volumetric Video Research with a Unified, Real-Time PyTorch Framework 1508

Neural volumetric video—capturing and rendering dynamic 3D scenes that can be viewed from any angle and time—is no longer just…

12/18/20254D Reconstruction, Dynamic Scene Modeling, Neural Rendering
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