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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 111–120 of 514 papers

TitleStatusHype
NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view ImagesCode1
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene RepresentationCode1
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXerCode1
Ultra-NeRF: Neural Radiance Fields for Ultrasound ImagingCode1
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and DeformationsCode1
Stroke-based Rendering: From Heuristics to Deep LearningCode1
Masked Wavelet Representation for Compact Neural Radiance FieldsCode1
Real-Time Neural Light Field on Mobile DevicesCode1
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume DistillationCode1
Unsupervised Continual Semantic Adaptation through Neural RenderingCode1
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