6 citations · 20 across the 17 of their papers we have counts for
16 papers · 1 filter
PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation
Chuqiao Li, Xianghui Xie, Yong Cao +2
Text-conditioned full-body human-object interaction (HOI) generation requires synthesizing human motion and object trajectories that match the input text while remaining precisely…
NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models
Yong Cao, Chuqiao Li, Xianghui Xie +2
Reliable evaluation of human motion understanding is fundamental to advancing embodied AI, robotics, and animation. However, existing benchmarks suffer from coarse semantic granula…
ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning
Eric Nazarenus, Chuqiao Li, Yannan He +3
We present ActionPlan, a unified motion diffusion framework that bridges real-time streaming with high-quality offline generation within a single model. The core idea is to introdu…
Hoi3DGen: Generating High-Quality Human-Object-Interactions in 3D
Agniv Sharma, Xianghui Xie, Tom Fischer +2
Modeling and generating 3D human-object interactions from text is crucial for applications in AR, XR, and gaming. Existing approaches often rely on score distillation from text-to-…
FrankenMotion: Part-level Human Motion Generation and Composition
Chuqiao Li, Xianghui Xie, Yong Cao +2
Human motion generation from text prompts has made remarkable progress in recent years. However, existing methods primarily rely on either sequence-level or action-level descriptio…
CARI4D: Category Agnostic 4D Reconstruction of Human-Object Interaction
Xianghui Xie, Bowen Wen, Yan Chang +5
Accurate capture of human-object interaction from ubiquitous sensors like RGB cameras is important for applications in human understanding, gaming, and robot learning. However, inf…
InfiniHuman: Infinite 3D Human Creation with Precise Control
Yuxuan Xue, Xianghui Xie, Margaret Kostyrko +1
Generating realistic and controllable 3D human avatars is a long-standing challenge, particularly when covering broad attribute ranges such as ethnicity, age, clothing styles, and…
PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image
Pradyumna Yalandur Muralidhar, Yuxuan Xue, Xianghui Xie +2
Reconstructing metrically accurate humans and their surrounding scenes from a single image is crucial for virtual reality, robotics, and comprehensive 3D scene understanding. Howev…
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
Yuxuan Xue, Xianghui Xie, Riccardo Marin +1
Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prio…
InterTrack: Tracking Human Object Interaction without Object Templates
Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
Tracking human object interaction from videos is important to understand human behavior from the rapidly growing stream of video data. Previous video-based methods require predefin…
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
Yuxuan Xue, Xianghui Xie, Riccardo Marin +1
Creating realistic avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior from 2D diffusion mod…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen +1
Reconstructing human-object interaction in 3D from a single RGB image is a challenging task and existing data driven methods do not generalize beyond the objects present in the car…
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
Capturing the interactions between humans and their environment in 3D is important for many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D human…
BEHAVE: Dataset and Method for Tracking Human Object Interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov +3
Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior ana…
CHORE: Contact, Human and Object REconstruction from a single RGB image
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
Most prior works in perceiving 3D humans from images reason human in isolation without their surroundings. However, humans are constantly interacting with the surrounding objects,…