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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 241–250 of 514 papers

TitleStatusHype
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene—0
CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses—0
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
PoRF: Pose Residual Field for Accurate Neural Surface ReconstructionCode1
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering—0
ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis—0
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields—0
Adaptive Multi-NeRF: Exploit Efficient Parallelism in Adaptive Multiple Scale Neural Radiance Field Rendering—0
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond—0
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene ReconstructionCode3
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