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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 471–480 of 514 papers

TitleStatusHype
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose—0
Neural Synthesis of Binaural Audio—0
ANR: Articulated Neural Rendering for Virtual Avatars—0
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering—0
ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-onCode1
Learning Compositional Radiance Fields of Dynamic Human Heads—0
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image SynthesisCode1
D-NeRF: Neural Radiance Fields for Dynamic ScenesCode1
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsCode2
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