activity
20232026
most citedConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

2 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

WildGHand: Learning Anti-Perturbation Gaussian Hand Avatars from Monocular In-the-Wild Videos

Hanhui Li, Xuan Huang, Wanquan Liu +5

Despite recent progress in 3D hand reconstruction from monocular videos, most existing methods rely on data captured in well-controlled environments and therefore degrade in real-w…

cs.CV2026

ERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian Splatting

Zehua Ma, Hanhui Li, Zhenyu Xie +4

Generating 3D content from a single image remains a fundamentally challenging and ill-posed problem due to the inherent absence of geometric and textural information in occluded re…

cs.CV2025

ProPhy: Progressive Physical Alignment for Dynamic World Simulation

Zijun Wang, Panwen Hu, Jing Wang +7

Recent advances in video generation have shown remarkable potential for constructing world simulators. However, current models still struggle to produce physically consistent resul…

cs.AI2025

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI

Kun Xiang, Terry Jingchen Zhang, Yinya Huang +13

The rapid advancement of embodied intelligence and world models has intensified efforts to integrate physical laws into AI systems, yet physical perception and symbolic physics rea…

cs.CV2025

LaVieID: Local Autoregressive Diffusion Transformers for Identity-Preserving Video Creation

Wenhui Song, Hanhui Li, Jiehui Huang +5

In this paper, we present LaVieID, a novel \underline{l}ocal \underline{a}utoregressive \underline{vi}d\underline{e}o diffusion framework designed to tackle the challenging \underl…

cs.CV2024

AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning

Kun Xiang, Zhili Liu, Terry Jingchen Zhang +12

In this paper, we address the challenging task of multimodal reasoning by incorporating the notion of ``slow thinking'' into multimodal large language models (MLLMs). Our core idea…

cs.CV2024

Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars

Xuan Huang, Hanhui Li, Wanquan Liu +4

In this paper, we propose to create animatable avatars for interacting hands with 3D Gaussian Splatting (GS) and single-image inputs. Existing GS-based methods designed for single…

cs.CV2024★ 2 cited

ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

Jiehui Huang, Xiao Dong, Wenhui Song +9

Diffusion-based technologies have made significant strides, particularly in personalized and customized facialgeneration. However, existing methods face challenges in achieving hig…

cs.CV2024

3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang +2

Neural radiance fields (NeRFs) are promising 3D representations for scenes, objects, and humans. However, most existing methods require multi-view inputs and per-scene training, wh…

cs.CV2023

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation

Hanhui Li, Xiaojian Lin, Xuan Huang +3

Current parametric models have made notable progress in 3D hand pose and shape estimation. However, due to the fixed hand topology and complex hand poses, current models are hard t…