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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 191–200 of 514 papers

TitleStatusHype
Dynamic Neural Garments—0
Dubbing for Everyone: Data-Efficient Visual Dubbing using Neural Rendering Priors—0
DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras—0
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey—0
BundleRecon: Ray Bundle-Based 3D Neural Reconstruction—0
A Comparison of Tiny-nerf versus Spatial Representations for 3d Reconstruction—0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
Bootstrap-GS: Self-Supervised Augmentation for High-Fidelity Gaussian Splatting—0
DRaCoN -- Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars—0
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces—0
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