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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
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing—0
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model—0
Rendering Humans from Object-Occluded Monocular Videos—0
Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing—0
CeRF: Convolutional Neural Radiance Fields for New View Synthesis with Derivatives of Ray Modeling—0
NeuBTF: Neural fields for BTF encoding and transfer—0
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering—0
Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric LearningCode0
Unsupervised Learning of Style-Aware Facial Animation from Real Acting Performances—0
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar—0
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