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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 371–380 of 514 papers

TitleStatusHype
Geometry-aware Single-image Full-body Human Relighting—0
Global Latent Neural Rendering—0
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images—0
Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images—0
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling—0
GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction—0
HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer—0
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering—0
HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering—0
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields—0
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