LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model

6 May 2024

Papers citing "LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model"

7 / 7 papers shown

Title
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Ziyan Guo Zeyu Hu Na Zhao De Wen Soh VGen 77 2 0 13 Mar 2025
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis Seong-Eun Hong Soobin Lim Juyeong Hwang Minwook Chang Hyeongyeop Kang 85 0 0 28 Nov 2024
KinMo: Kinematic-aware Human Motion Understanding and Generation Pengfei Zhang Pinxin Liu Hyeongwoo Kim Pablo Garrido Bindita Chaudhuri 75 1 0 23 Nov 2024
EvAlignUX: Advancing UX Research through LLM-Supported Exploration of Evaluation Metrics Qingxiao Zheng Minrui Chen Pranav Sharma Yiliu Tang Mehul Oswal Yiren Liu Yun Huang ELM 17 2 0 23 Sep 2024
TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis Mathis Petrovich Michael J. Black Gül Varol VGen 62 40 0 02 May 2023
TEACH: Temporal Action Composition for 3D Humans Nikos Athanasiou Mathis Petrovich Michael J. Black Gül Varol 72 138 0 09 Sep 2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts Chuan Guo Xinxin Xuo Sen Wang Li Cheng VGen 60 138 0 04 Jul 2022