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Chunhua Shen

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Preprint Aug 2026

MegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling

MegaParts, a scalable autoregressive 3D generation framework to address this challenge by combining structured sequence modeling with a token-efficient vector-quantized shape tokenizer, achieves higher mesh quality than baseline autoregressive and diffusion models and suggests that LLM native token-efficient autoregres...

Manwen Liao, Xinyu Lian, Jian Mao et al. · 0 citations
Preprint Sep 2026

GeoVerse: World-Consistent Novel View Synthesis in Geometric Latent Space

GeoVerse is a framework that synthesizes world-consistent novel views by performing generation within the geometric latent space of a pretrained 3D foundation model and injecting appearance priors from a video generative model via a ControlNet-style adapter.

Ke-Rui Ren, Tao Lu, Lin-Ning Xu et al. · 0 citations
Preprint Sep 2026

InfiniHand: Streaming World-Space Hand Motion Estimation from Egocentric Video

InfiniHand is an end-to-end streaming feed-forward framework that jointly estimates MANO parameters, camera trajectories, and hand locations directly from uncalibrated egocentric video, achieving a 21% reduction in ARCTIC PA-p compared to ViDiHand while substantially mitigating world-space drift.

Ke-Rui Ren, Kai-Wen Song, Weiguang Zhao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

InternW0: A Foundational Physical World Model for Efficient Real-World Interactions

This work introduces InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-frequency processing, and local physical modeling under partial observations and external influences.

Ji-Song Cai, Yao Mu, Gan-Lin Yang et al. · 0 citations

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