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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 341–350 of 514 papers

TitleStatusHype
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields—0
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction—0
3D GAN Inversion with Facial Symmetry Prior—0
Compressing Volumetric Radiance Fields to 1 MBCode2
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume DistillationCode1
FastHuman: Reconstructing High-Quality Clothed Human in Minutes—0
NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies—0
Unsupervised Continual Semantic Adaptation through Neural RenderingCode1
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields—0
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance FieldsCode2
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