activity
20222024
most citedMotionGPT: Human Motion as a Foreign Language

54 citations · 74 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

CAMAv2: A Vision-Centric Approach for Static Map Element Annotation

Shiyuan Chen, Jiaxin Zhang, Ruohong Mei +5

The recent development of online static map element (a.k.a. HD map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available publ…

cs.CV20246 cited

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Sijin Chen, Xin Chen, Anqi Pang +11

The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed, and storage efficiency, which is widely preferred in various applications. However, giv…

cs.CV2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

Chi Zhang, Wei Yin, Gang Yu +5

In this study, we address the challenge of 3D scene structure recovery from monocular depth estimation. While traditional depth estimation methods leverage labeled datasets to dire…

cs.CV202354 cited

MotionGPT: Human Motion as a Foreign Language

Biao Jiang, Xin Chen, Wen Liu +3

Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains ch…

cs.CV202313 cited

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

Chi Zhang, Yiwen Chen, Yijun Fu +7

The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D r…

cs.CV20221 cited

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

Jianshu Li, Man Luo, Jian Liu +12

In this paper, we present the Multi-Forgery Detection Challenge held concurrently with the IEEE Computer Society Workshop on Biometrics at CVPR 2022. Our Multi-Forgery Detection Ch…