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

Showing 2130 of 514 papers

TitleStatusHype
Animal Avatars: Reconstructing Animatable 3D Animals from Casual VideosCode2
HF-NeuS: Improved Surface Reconstruction Using High-Frequency DetailsCode2
3D Student Splatting and ScoopingCode2
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsCode2
Collaborative Neural Rendering using Anime Character SheetsCode2
COLMAP-Free 3D Gaussian SplattingCode2
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category ReconstructionCode2
Compressing Volumetric Radiance Fields to 1 MBCode2
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual LocalizationCode2
Efficient Geometry-aware 3D Generative Adversarial NetworksCode2
Show:102550
← PrevPage 3 of 52Next →

No leaderboard results yet.