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Neural Rendering

Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.

Papers

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Showing 261–270 of 514 papers

TitleStatusHype
Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing—0
D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video—0
NeRF Director: Revisiting View Selection in Neural Volume RenderingCode0
Spatial Annealing for Efficient Few-shot Neural RenderingCode0
RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering—0
CityCraft: A Real Crafter for 3D City Generation—0
3D-HGS: 3D Half-Gaussian Splatting—0
Gated Fields: Learning Scene Reconstruction from Gated Videos—0
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction—0
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene ReconstructionCode0
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