activity
20232025
most citedSMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

29 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Scaling Spatial Intelligence with Multimodal Foundation Models

Zhongang Cai, Ruisi Wang, Chenyang Gu +26

Despite remarkable progress, multimodal foundation models still exhibit surprising deficiencies in spatial intelligence. In this work, we explore scaling up multimodal foundation m…

cs.CV2025

Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory

Hui Pang, Sunil Hadap, Violetta Shevchenko +2

Augmented reality is revolutionizing beauty industry with virtual try-on (VTO) applications, which empowers users to try a wide variety of products using their phones without the h…

cs.CV2025

SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation

Wanqi Yin, Zhongang Cai, Ruisi Wang +12

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…

cs.CV2024

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

Hui En Pang, Shuai Liu, Zhongang Cai +3

We present \textbf{Disco4D}, a novel Gaussian Splatting framework for 4D human generation and animation from a single image. Different from existing methods, Disco4D distinctively…

cs.CV2023★ 29 cited

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

Zhongang Cai, Wanqi Yin, Ailing Zeng +10

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…