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Grace Chen

2 accepted papers

2026

PAGE-4D: Disentangled Pose and Geometry Estimation for 4D Perception

ICLR 2026poster

Recent 3D feed-forward models, such as the Visual Geometry Grounded Transformer (VGGT), have shown strong capability in inferring 3D attributes of static scenes. However, since they are typically trained on static datasets, these models often struggle in real-world scenarios involving complex dynami…

Cited by 27SourcecodeScholar
2025

GARF: Learning Generalizable 3D Reassembly for Real-World Fractures

ICCV 2025poster

3D reassembly is a challenging spatial intelligence task with broad applications across scientific domains. While large-scale synthetic datasets have fueled promising learning-based approaches, their generalizability to different domains is limited. Critically, it remains uncertain whether models tr…

Cited by 0SourcePDFScholar