SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 141–150 of 514 papers

TitleStatusHype
FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces—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
PGAHum: Prior-Guided Geometry and Appearance Learning for High-Fidelity Animatable Human Reconstruction—0
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
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
Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs PriorCode2
3D Gaussian Splatting as Markov Chain Monte Carlo—0
Show:102550
← PrevPage 15 of 52Next →

No leaderboard results yet.