1 citations · 1 across the 8 of their papers we have counts for
13 papers
MOMO: Human Motion from Moving Sounds
Deli Cai, Shuyang Xu, Zhiyang Dou +4
Human responses to sound depend not only on its semantic content, but also on the evolving spatial relationship between source and listener, conveyed through spatial audio and its…
SparseCtrl-HOI: Sparse Temporal Control for Human-Object Interaction Video Generation
Shenbo Xie, Mingrui Cai, Xu Yang +2
Human-Object Interaction (HOI) video generation aims to synthesize realistic videos of humans manipulating diverse objects, serving as a promising avenue for AI-driven live streami…
Coordinating Multiple Conditions for Trajectory-Controlled Human Motion Generation
Deli Cai, Haoyang Ma, Changxing Ding
Trajectory-controlled human motion generation aims to synthesize realistic human motions conditioned on both textual descriptions and spatial trajectories. However, existing method…
Streamlined Open-Vocabulary Human-Object Interaction Detection
Chang Sun, Dongliang Liao, Changxing Ding
Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing…
ViHOI: Human-Object Interaction Synthesis with Visual Priors
Songjin Cai, Linjie Zhong, Ling Guo +1
Generating realistic and physically plausible 3D Human-Object Interactions (HOI) remains a key challenge in motion generation. One primary reason is that describing these physical…
Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation
Yifei Liu, Changxing Ding, Ling Guo +2
Diffusion models have seen widespread adoption for text-driven human motion generation and related tasks due to their impressive generative capabilities and flexibility. However, c…
Democratizing High-Fidelity Co-Speech Gesture Video Generation
Xu Yang, Shaoli Huang, Shenbo Xie +3
Co-speech gesture video generation aims to synthesize realistic, audio-aligned videos of speakers, complete with synchronized facial expressions and body gestures. This task presen…
Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection
Yupeng Hu, Changxing Ding, Chang Sun +2
Open vocabulary Human-Object Interaction (HOI) detection is a challenging task that detects all <human, verb, object> triplets of interest in an image, even those that are not pre-…
Guiding Human-Object Interactions with Rich Geometry and Relations
Mengqing Xue, Yifei Liu, Ling Guo +2
Human-object interaction (HOI) synthesis is crucial for creating immersive and realistic experiences for applications such as virtual reality. Existing methods often rely on simpli…
Effortless Active Labeling for Long-Term Test-Time Adaptation
Guowei Wang, Changxing Ding
Long-term test-time adaptation (TTA) is a challenging task due to error accumulation. Recent approaches tackle this issue by actively labeling a small proportion of samples in each…
Towards Variable and Coordinated Holistic Co-Speech Motion Generation
Yifei Liu, Qiong Cao, Yandong Wen +2
This paper addresses the problem of generating lifelike holistic co-speech motions for 3D avatars, focusing on two key aspects: variability and coordination. Variability allows the…
Disentangled Pre-training for Human-Object Interaction Detection
Zhuolong Li, Xingao Li, Changxing Ding +1
Detecting human-object interaction (HOI) has long been limited by the amount of supervised data available. Recent approaches address this issue by pre-training according to pseudo-…
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
Xu Yang, Changxing Ding, Zhibin Hong +3
Image-based virtual try-on is an increasingly important task for online shopping. It aims to synthesize images of a specific person wearing a specified garment. Diffusion model-bas…