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Jingyi Yu

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Preprint Oct 2026

3DRAG: 3D-Native Object Drag Editing with Generative Models

The rapid progress of 3D generative models has made 3D asset creation increasingly accessible. However, achieving intuitive, precise, and interactive user control, such as point-based drag editing, remains challenging. Existing 3D drag methods either rely on slow 2D diffusion priors, such as Score Distillation Sampling...

Kui-Xiang Shao, Yu-Yang Jiao, Cheng-Hao Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

FACT: Fidelity-Aware Construction of Articulated Twins

Experiments show that FACT improves geometric reconstruction over baselines, enables more reliable interaction with simpler collision proxies, and better reproduces held-out physical responses than direct parameter inference.

Kui-Xiang Shao, Chuan-Sen Nie, Yi-Nuo Bai et al. · 0 citations
Book Open access Jul 2026

Autoregressive B-Rep Shape Generation with Parametric Surfaces

ParaCAD is presented, an autoregressive framework for point-cloud-conditioned B-Rep generation that directly operates on native parametric surfaces and introduces a surface-centric tokenization that explicitly encodes each face by its exact surface type and continuous parameters, preserving the intrinsic semantics of C...

Dafei Qin, Rui Xu, Zeyu Shen et al. · 2 citations
Open access Jul 2026

ACT: A Unified Framework for Rigging and Animating Characters with Arbitrary Topologies

ACT is introduced, a unified generative framework that reformulates rigging and animation not as independent tasks, but as complementary views of a single hyper-kinematic process, offering a versatile and efficient solution for automating 3D character animation.

Pengyu Long, Weirui Wang, Qingcheng Zhao et al. · 0 citations

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