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Author

Angel X. Chang

2 papers indexed here

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Review Oct 2026

GATOR: Generative and Agentic 3D Object Reconstruction From Casual Images

Reconstructing complete, scene-aligned 3D objects from casual images requires integrating sparse, uncertain observations and inferring surfaces hidden by occlusions. We present GATOR, a generative and agentic framework that recovers textured object assets and their scene-relative pose from one or more images. Our local...

Qi-Rui Wu, Stanley T. Birchfield, Hesam Rabeti et al. · 0 citations
#machine learning Conference Oct 2025

Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation

PerSyn (Personalized data Synthesis), a novel synthesis strategy that operates under a new ``Route then Generate''paradigm to create data tailored to each student model, enabling it to learn more effectively, is proposed.

Hengyuan Zhang, Shi-Ping Yang, Xiao Liang et al. · 21 citations

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