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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 361–370 of 514 papers

TitleStatusHype
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes—0
DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene—0
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
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