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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

Showing 1120 of 514 papers

TitleStatusHype
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene ReconstructionCode3
BAD-Gaussians: Bundle Adjusted Deblur Gaussian SplattingCode3
Point-NeRF: Point-based Neural Radiance FieldsCode3
3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint VideosCode3
NeROIC: Neural Rendering of Objects from Online Image CollectionsCode3
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection StrategyCode3
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D GenerationCode3
NeRF: Representing Scenes as Neural Radiance Fields for View SynthesisCode3
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous DrivingCode3
BokehMe: When Neural Rendering Meets Classical RenderingCode2
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