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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 131–140 of 514 papers

TitleStatusHype
Part123: Part-aware 3D Reconstruction from a Single-view Image—0
Memorize What Matters: Emergent Scene Decomposition from MultitraverseCode2
Gaussian Time Machine: A Real-Time Rendering Methodology for Time-Variant Appearances—0
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo—0
I3DGS: Improve 3D Gaussian Splatting from Multiple Dimensions—0
TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes—0
Active Neural 3D Reconstruction with Colorized Surface Voxel-based View Selection—0
MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing—0
SAGS: Structure-Aware 3D Gaussian Splatting—0
Bootstrap-GS: Self-Supervised Augmentation for High-Fidelity Gaussian Splatting—0
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