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VCLab-HKPU 's Collections
Image/Video Restoration, Enhancement and Quality Assessment
Multimodal Perception, Understanding and Reasoning
Image and Video Synthesis and Generation
3D Perception, Reconstruction and Generation
Architecture and Training Paradigms
Benchmarks and Datasets

3D Perception, Reconstruction and Generation

updated 17 days ago

This collection gathers VCLab's research to sense, reconstruct, synthesize, and edit high-fidelity 3D worlds.

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  • Omni-3DEdit: Generalized Versatile 3D Editing in One-Pass

    Paper • 2603.17841 • Published Mar 18

    Note [CVPR 2026 Highlight] Generalized one-pass 3D editing. | Code: https://github.com/mt-cly/Omni3DEdit


  • Photo3D: Advancing Photorealistic 3D Generation through Structure-Aligned Detail Enhancement

    Paper • 2512.08535 • Published Dec 9, 2025

    Note [CVPR 2026] Photorealistic 3D gen with structure-aligned details. | Code: https://github.com/Liangsanzhu/Photo3D/


  • One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image

    Paper • 2602.19766 • Published Feb 23

    Note [ICLR 2026] Single-image explorable 3D scene generation. | Code: https://one2scene5406.github.io/


  • Fast Multi-view Consistent 3D Editing with Video Priors

    Paper • 2511.23172 • Published Nov 28, 2025

    Note [AAAI 2026] Multi-view 3D editing with video priors. | Code: https://mt-cly.github.io/ViP3DE/

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