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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 331–340 of 514 papers

TitleStatusHype
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap—0
A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction—0
A Survey of 3D Reconstruction with Event Cameras: From Event-based Geometry to Neural 3D Rendering—0
A survey of synthetic data augmentation methods in computer vision—0
Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos—0
BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields—0
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering—0
BodyMap: Learning Full-Body Dense Correspondence Map—0
Bootstrap-GS: Self-Supervised Augmentation for High-Fidelity Gaussian Splatting—0
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