4 citations · 5 across the 16 of their papers we have counts for
19 papers
SynerGest: Temporal-Spatial Synergistic Gesture Generation for Dyadic Conversations
Chengxiang Guo, Jian Wang, Lanmiao Liu +3
Co-speech gesture generation in dyadic conversations for creating immersive virtual avatars remains highly challenging. Existing models often struggle to balance kinematic stabilit…
VideoAgent: All-in-One Framework for Video Understanding and Editing
Hengji Zhou, Lingxuan Huang, Jian Wang +4
Video editing has become essential in digital media creation, yet existing automated systems are restricted to short segment processing and domain-specific tasks. They face two cri…
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos
Runze Xu, Yiluo Zhang, Jian Wang +2
Training generalist Vision-Language-Action(VLA) models typically requires massive, diverse robotic datasets with high-fidelity action annotations. While egocentric human manipulati…
RAGA: Real Time Ray Traced Gaussian Shadow Casting for 3DGS Avatar-Scene Interaction
Aymen Mir, Riza Alp Guler, Jian Wang +3
We study the problem of physically plausible shadow casting when animating 3D Gaussian Splatting (3DGS) avatars, either individually or in multi-avatar and object-interaction scena…
CapTalk: Text-Guided Stylization and Speech-Driven 3D Head Animation
Xuangeng Chu, Yuan Gan, Ziteng Cui +4
Audio-driven 3D facial animation aims to generate synchronized lip movements and vivid facial expressions from arbitrary audio clips. While existing methods can produce synchronize…
Helix4D: Complex 4D Mesh Generation
Jiraphon Yenphraphai, Jianqi Chen, Jian Wang +6
Current video-to-4D methods struggle with complex topology changes, transparent materials, thin structures, and inner surfaces. We present Helix4D, a dynamic mesh generation framew…
HandX: Scaling Bimanual Motion and Interaction Generation
Zimu Zhang, Yucheng Zhang, Xiyan Xu +8
Synthesizing human motion has advanced rapidly, yet realistic hand motion and bimanual interaction remain underexplored. Whole-body models often miss the fine-grained cues that dri…
SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grounding
Jiwook Han, Geo Ahn, Youngrae Kim +1
Multimodal Large Language Models (MLLMs) have shown strong performance on Video Temporal Grounding (VTG). However, their coarse recognition capabilities are insufficient for fine-g…
Animated 3DGS Avatars in Diverse Scenes with Consistent Lighting and Shadows
Aymen Mir, Riza Alp Guler, Jian Wang +2
We present a method for consistent lighting and shadows when animated 3D Gaussian Splatting (3DGS) avatars interact with 3DGS scenes or with dynamic objects inserted into otherwise…
TalkVerse: Democratizing Minute-Long Audio-Driven Video Generation
Zhenzhi Wang, Jian Wang, Ke Ma +2
We introduce TalkVerse, a large-scale, open corpus for single-person, audio-driven talking video generation designed to enable fair, reproducible comparison across methods. While c…
AHA! Animating Human Avatars in Diverse Scenes with Gaussian Splatting
Aymen Mir, Jian Wang, Riza Alp Guler +3
We present a novel framework for animating humans in 3D scenes using 3D Gaussian Splatting (3DGS), a neural scene representation that has recently achieved state-of-the-art photore…
Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation
Shaowei Liu, Chuan Guo, Bing Zhou +1
Close-proximity human-human interactive poses convey rich contextual information about interaction dynamics. Given such poses, humans can intuitively infer the context and anticipa…
Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
Qingxuan Wu, Zhiyang Dou, Chuan Guo +5
Modeling human-human interactions from text remains challenging because it requires not only realistic individual dynamics but also precise, text-consistent spatiotemporal coupling…
SnapMoGen: Human Motion Generation from Expressive Texts
Chuan Guo, Inwoo Hwang, Jian Wang +1
Text-to-motion generation has experienced remarkable progress in recent years. However, current approaches remain limited to synthesizing motion from short or general text prompts,…
DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
Anindita Ghosh, Bing Zhou, Rishabh Dabral +5
We present DuetGen, a novel framework for generating interactive two-person dances from music. The key challenge of this task lies in the inherent complexities of two-person dance…
A Survey on Human Interaction Motion Generation
Kewei Sui, Anindita Ghosh, Inwoo Hwang +3
Humans inhabit a world defined by interactions -- with other humans, objects, and environments. These interactive movements not only convey our relationships with our surroundings…
Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion
Haim Sawdayee, Chuan Guo, Guy Tevet +3
Text-to-motion generative models span a wide range of 3D human actions but struggle with nuanced stylistic attributes such as a "Chicken" style. Due to the scarcity of style-specif…
SceneMI: Motion In-betweening for Modeling Human-Scene Interactions
Inwoo Hwang, Bing Zhou, Young Min Kim +2
Modeling human-scene interactions (HSI) is essential for understanding and simulating everyday human behaviors. Recent approaches utilizing generative modeling have made progress i…
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
Eric M. Chen, Di Liu, Sizhuo Ma +8
Despite the increasing popularity of avatar systems such as Snapchat Bitmojis, existing production avatar platforms face several limitations, such as a limited number of predefined…