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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 281–290 of 514 papers

TitleStatusHype
SAGS: Structure-Aware 3D Gaussian Splatting—0
NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection—0
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering—0
FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces—0
PGAHum: Prior-Guided Geometry and Appearance Learning for High-Fidelity Animatable Human Reconstruction—0
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces—0
Inverse Neural Rendering for Explainable Multi-Object Tracking—0
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering—0
3D Gaussian Splatting as Markov Chain Monte Carlo—0
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields—0
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