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20242026
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cs.CV2026

HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions

Yukang Cao, Haozhe Xie, Fangzhou Hong +4

We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view images and monocular v…

cs.CV2026

OnlineSI: Taming Large Language Model for Online 3D Understanding and Grounding

Zixian Liu, Zhaoxi Chen, Liang Pan +1

In recent years, researchers have increasingly been interested in how to enable Multimodal Large Language Models (MLLM) to possess spatial understanding and reasoning capabilities.…

cs.CV2025

4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Zhaoxi Chen, Tianqi Liu, Long Zhuo +6

We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on comp…

cs.CV2025

EgoTwin: Dreaming Body and View in First Person

Jingqiao Xiu, Fangzhou Hong, Yicong Li +5

While exocentric video synthesis has achieved great progress, egocentric video generation remains largely underexplored, which requires modeling first-person view content along wit…

cs.CV2025

Compositional Generative Model of Unbounded 4D Cities

Haozhe Xie, Zhaoxi Chen, Fangzhou Hong +1

3D scene generation has garnered growing attention in recent years and has made significant progress. Generating 4D cities is more challenging than 3D scenes due to the presence of…

cs.CV2024

GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data

Wentao Wang, Hang Ye, Fangzhou Hong +5

Given a single in-the-wild human photo, it remains a challenging task to reconstruct a high-fidelity 3D human model. Existing methods face difficulties including a) the varying bod…