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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 91–100 of 514 papers

TitleStatusHype
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray TracingCode1
Improving neural implicit surfaces geometry with patch warpingCode1
Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene RepresentationCode1
D-NeRF: Neural Radiance Fields for Dynamic ScenesCode1
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View SynthesisCode1
LiveNVS: Neural View Synthesis on Live RGB-D StreamsCode1
Hybrid Neural Rendering for Large-Scale Scenes with Motion BlurCode1
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume FusionCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
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