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 321–330 of 514 papers

TitleStatusHype
Differentiable Rendering for Synthetic Aperture Radar Imagery—0
DNAct: Diffusion Guided Multi-Task 3D Policy Learning—0
D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video—0
DNRSelect: Active Best View Selection for Deferred Neural Rendering—0
DORSal: Diffusion for Object-centric Representations of Scenes et al—0
DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation—0
DRaCoN -- Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars—0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey—0
DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras—0
Show:102550
← PrevPage 33 of 52Next →

No leaderboard results yet.