209 citations · 406 across the 50 of their papers we have counts for
13 papers · 1 filter
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Xun Guo, Shan Zhang, Yongxin He +4
Current techniques for detecting AI-generated text are largely confined to manual feature crafting and supervised binary classification paradigms. These methodologies typically lea…
Towards Unified 3D Hair Reconstruction from Single-View Portraits
Yujian Zheng, Yuda Qiu, Leyang Jin +5
Single-view 3D hair reconstruction is challenging, due to the wide range of shape variations among diverse hairstyles. Current state-of-the-art methods are specialized in recoverin…
ViMo: Generating Motions from Casual Videos
Liangdong Qiu, Chengxing Yu, Yanran Li +6
Although humans have the innate ability to imagine multiple possible actions from videos, it remains an extraordinary challenge for computers due to the intricate camera movements…
LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
Haowen Sun, Ruikun Zheng, Haibin Huang +3
In this paper, we introduce LGTM, a novel Local-to-Global pipeline for Text-to-Motion generation. LGTM utilizes a diffusion-based architecture and aims to address the challenge of…
Spatial and Surface Correspondence Field for Interaction Transfer
Zeyu Huang, Honghao Xu, Haibin Huang +3
In this paper, we introduce a new method for the task of interaction transfer. Given an example interaction between a source object and an agent, our method can automatically infer…
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Chi Wang, Junming Huang, Rong Zhang +5
Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…