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Francis Xiatian Zhang (FrancisXZhang)

FrancisXZhang

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DAEVI

The code resource for Depth-aware Endoscopic Video Inpainting

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Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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Endoscapes

Official Repository for the Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment

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CHOLEC80-CVS-PUBLIC

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simcol

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HINT

HINT: High-quality INpainting Transformer with Enhanced Attention and Mask-aware Encoding

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