SATO: Stable Text-to-Motion Framework

SATO: Stable Text-to-Motion Framework

2 May 2024

Lijie Hu

Papers citing "SATO: Stable Text-to-Motion Framework"

7 / 7 papers shown

Title
Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion Zongye Zhang Bohan Kong Qingjie Liu Yunhong Wang DiffM 16 0 0 16 May 2025
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Sana Alamgeer Yasine Souissi Anne H. H. Ngu 39 0 0 07 May 2025
Auto DragGAN: Editing the Generative Image Manifold in an Autoregressive Manner Pengxiang Cai Zhiwei Liu Guibo Zhu Yunfang Niu Jinqiao Wang DiffM 40 1 0 26 Jul 2024
FTS: A Framework to Find a Faithful TimeSieve Songning Lai Ninghui Feng Haochen Sui Ze Ma Hao Wang Zichen Song Hang Zhao Yutao Yue AI4TS 39 15 0 30 May 2024
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts Chuan Guo Xinxin Xuo Sen Wang Li Cheng VGen 78 229 0 04 Jul 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
The KIT Motion-Language Dataset Matthias Plappert Christian Mandery Tamim Asfour 193 273 0 13 Jul 2016