activity
20242026
collaborators

17 papers

cs.CV2026

DeSpatial: The devil of Agentic Spatial Reasoning Lies in 3D Itself

Yifei Liu, Xiaolong Zhou, Ziyang Gong +8

Spatial agents have access to reconstruction and segmentation tools, yet inconsistent predictions and fragmented object identities can prevent their outputs from becoming reliable…

cs.AI2026

COSMO-Agent: Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration

Liyuan Deng, Shujian Deng, Yongkang Chen +6

Iterative industrial design-simulation optimization is bottlenecked by the CAD-CAE semantic gap: translating simulation feedback into valid geometric edits under diverse, coupled c…

cs.AI2026

Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration

Liyuan Deng, Shujian Deng, Yongkang Chen +6

Iterative industrial design-simulation optimization is bottlenecked by the CAD-CAE semantic gap: translating simulation feedback into valid geometric edits under diverse, coupled c…

cs.CV2026

Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports

Yuchen Yang, Yuqing Shao, Duxiu Huang +11

Sports have long attracted broad attention as they push the limits of human physical and cognitive capabilities. Amid growing interest in spatial intelligence for vision-language m…

cs.CV2026

Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence

Yuanyuan Gao, Hao Li, Yifei Liu +14

The pursuit of spatial intelligence fundamentally relies on access to large-scale, fine-grained 3D data. However, existing approaches predominantly construct spatial understanding…

cs.CV2025

ExGS: Extreme 3D Gaussian Compression with Diffusion Priors

Jiaqi Chen, Xinhao Ji, Yuanyuan Gao +7

Neural scene representations, such as 3D Gaussian Splatting (3DGS), have enabled high-quality neural rendering; however, their large storage and transmission costs hinder deploymen…

cs.CV2025

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting

Yuanyuan Gao, Yuning Gong, Yifei Liu +6

3D Gaussian Splatting (3DGS) has emerged as an efficient approach for achieving photorealistic rendering. Recent MLP-based variants further improve visual fidelity but introduce su…

cs.CV2025

Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics

Yuchen Yang, Linfeng Dong, Wei Wang +2

In 3D human pose and shape estimation, SMPLify remains a robust baseline that solves inverse kinematics (IK) through iterative optimization. However, its high computational cost li…

cs.CV2025

AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models

Muyao Niu, Mingdeng Cao, Yifan Zhan +6

Recent advances in video diffusion models have substantially enhanced character animation techniques. However, existing methods primarily depend on structural conditions, such as D…

cs.CV2025

CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction

Yuanyuan Gao, Hao Li, Jiaqi Chen +5

Despite its significant achievements in large-scale scene reconstruction, 3D Gaussian Splatting still faces substantial challenges, including slow processing, high computational co…

cs.CV2025

R3-Avatar: Record and Retrieve Temporal Codebook for Reconstructing Photorealistic Human Avatars

Yifan Zhan, Wangze Xu, Qingtian Zhu +6

We present R3-Avatar, incorporating a temporal codebook, to overcome the inability of human avatars to be both animatable and of high-fidelity rendering quality. Existing video-bas…

cs.CV2025

SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic

Yuchen Yang, Wei Wang, Yifei Liu +5

Group Activity Understanding is predominantly studied as Group Activity Recognition (GAR) task. However, existing GAR benchmarks suffer from coarse-grained activity vocabularies an…

cs.CV2024

DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding

Hao Wu, Zhihang Zhong, Xiao Sun

Image captioning models often suffer from performance degradation when applied to novel datasets, as they are typically trained on domain-specific data. To enhance generalization i…

cs.CV2024

MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks

Yifei Liu, Zhihang Zhong, Yifan Zhan +2

While 3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in novel view synthesis and real-time rendering, the high memory consumption due to the use of millions o…

cs.CV2024

X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation

Yuchen Yang, Xuanyi Liu, Xing Gao +2

Recent unsupervised methods for monocular 3D pose estimation have endeavored to reduce dependence on limited annotated 3D data, but most are solely formulated in 2D space, overlook…

cs.CV2024

Sequential Gaussian Avatars with Hierarchical Motion Context

Wangze Xu, Yifan Zhan, Zhihang Zhong +1

The emergence of neural rendering has significantly advanced the rendering quality of 3D human avatars, with the recently popular 3DGS technique enabling real-time performance. How…

cs.CV2024

Motion-Aware Animatable Gaussian Avatars Deblurring

Muyao Niu, Yifan Zhan, Qingtian Zhu +5

The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as…