2 citations · 4 across the 18 of their papers we have counts for
20 papers
SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image
Zefan Tian, Yuteng Ye, Yiheng Zhang +5
Single-image 3D scene reconstruction must complete partially observed objects and place them coherently in a shared observation-aligned scene frame. Object-level generative priors…
LogiShot: Logically Coherent Cross-Shot Video Generation
Shuai Guo, Yuhang Yang, Zeyu Zhang +4
Generating cross-shot videos that are logically connected is essential for content creation. Currently, most cross-shot video-generation workflows, such as short-drama production,…
AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries
Zhen Zhang, Yuhang Yang, Yunxiang Jiang +5
Existing affective understanding studies have mainly focused on recognizing emotions from images, audio signals, or pre-cliped video clips, where the affective evidence is already…
Gloria: Consistent Character Video Generation via Content Anchors
Yuhang Yang, Fan Zhang, Huaijin Pi +5
Digital characters are central to modern media, yet generating character videos with long-duration, consistent multi-view appearance and expressive identity remains challenging. Ex…
End-to-End Spatial-Temporal Transformer for Real-time 4D HOI Reconstruction
Haoyu Zhang, Wei Zhai, Yuhang Yang +2
Monocular 4D human-object interaction (HOI) reconstruction - recovering a moving human and a manipulated object from a single RGB video - remains challenging due to depth ambiguity…
From Frames to Sequences: Temporally Consistent Human-Centric Dense Prediction
Xingyu Miao, Junting Dong, Qin Zhao +3
In this work, we focus on the challenge of temporally consistent human-centric dense prediction across video sequences. Existing models achieve strong per-frame accuracy but often…
TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions
Guangyi Han, Wei Zhai, Yuhang Yang +2
Hand-object interaction (HOI) is fundamental for humans to express intent. Existing HOI generation research is predominantly confined to fixed grasping patterns, where control is t…
GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
Hongxiang Li, Yaowei Li, Bin Lin +7
Unified multimodal models integrate the reasoning capacity of large language models with both image understanding and generation, showing great promise for advanced multimodal inte…
DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation
Junhao Chen, Mingjin Chen, Jianjin Xu +9
Controllable video generation (CVG) has advanced rapidly, yet current systems falter when more than one actor must move, interact, and exchange positions under noisy control signal…
GRACE: Estimating Geometry-level 3D Human-Scene Contact from 2D Images
Chengfeng Wang, Wei Zhai, Yuhang Yang +2
Estimating the geometry level of human-scene contact aims to ground specific contact surface points at 3D human geometries, which provides a spatial prior and bridges the interacti…
VideoGen-Eval: Agent-based System for Video Generation Evaluation
Yuhang Yang, Ke Fan, Shangkun Sun +7
The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…
SIGMAN:Scaling 3D Human Gaussian Generation with Millions of Assets
Yuhang Yang, Fengqi Liu, Yixing Lu +8
3D human digitization has long been a highly pursued yet challenging task. Existing methods aim to generate high-quality 3D digital humans from single or multiple views, but remain…
HERO: Human Reaction Generation from Videos
Chengjun Yu, Wei Zhai, Yuhang Yang +2
Human reaction generation represents a significant research domain for interactive AI, as humans constantly interact with their surroundings. Previous works focus mainly on synthes…
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
Hongxiang Li, Yaowei Li, Yuhang Yang +4
Controllable human image animation aims to generate videos from reference images using driving videos. Due to the limited control signals provided by sparse guidance (e.g., skeleto…
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Yawen Shao, Wei Zhai, Yuhang Yang +3
Open-Vocabulary 3D object affordance grounding aims to anticipate ``action possibilities'' regions on 3D objects with arbitrary instructions, which is crucial for robots to generic…
The Dawn of Video Generation: Preliminary Explorations with SORA-like Models
Ailing Zeng, Yuhang Yang, Weidong Chen +1
High-quality video generation, encompassing text-to-video (T2V), image-to-video (I2V), and video-to-video (V2V) generation, holds considerable significance in content creation to b…
Grounding 3D Scene Affordance From Egocentric Interactions
Cuiyu Liu, Wei Zhai, Yuhang Yang +4
Grounding 3D scene affordance aims to locate interactive regions in 3D environments, which is crucial for embodied agents to interact intelligently with their surroundings. Most ex…
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
Yuhang Yang, Wei Zhai, Chengfeng Wang +3
Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-centric perception, facilitating applications like AR/VR and embodied AI. For the egocentri…
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
Yuhang Yang, Wei Zhai, Hongchen Luo +2
Learning 3D human-object interaction relation is pivotal to embodied AI and interaction modeling. Most existing methods approach the goal by learning to predict isolated interactio…
Grounding 3D Object Affordance from 2D Interactions in Images
Yuhang Yang, Wei Zhai, Hongchen Luo +3
Grounding 3D object affordance seeks to locate objects' ''action possibilities'' regions in the 3D space, which serves as a link between perception and operation for embodied agent…