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 311–320 of 514 papers

TitleStatusHype
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality—0
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading—0
Deep Billboards towards Lossless Real2Sim in Virtual Reality—0
Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images—0
DeformStream: Deformation-based Adaptive Volumetric Video Streaming—0
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering—0
DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera Systems—0
DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering—0
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes—0
DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene—0
Show:102550
← PrevPage 32 of 52Next →

No leaderboard results yet.