activity
20242026
most citedTextual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation

1 citations · 1 across the 12 of their papers we have counts for

collaborators

15 papers

cs.CV2026

HairFlow: Modeling 3D Hair Strands with Multi-Modal Conditioned Diffusion

Yating Wang, Kui Wu, Ran Yi +5

Modeling 3D hair strands is challenging due to complex hairstyle geometry, scarce high-quality training data, and incomplete or noisy input observations. Foundation models offer br…

cs.RO2026

Beyond Placement and Articulation: Usage-Driven Code Scenes for Embodied Interaction

Zijian Xiao, Zipeng Ye, Jinkun Hao +3

Indoor scene synthesis provides essential environments for embodied AI, robotic manipulation, and simulation-based policy learning. Recent code-based scene generation methods produ…

cs.CV2026

VicEdit: Learning to Edit Videos from Visual In-Context Examples

Yuji Wang, Teng Hu, Yuheng Chen +6

Despite progress in instruction-based video editing, unimodal textual instructions inherently struggle to convey fine-grained textures and complex dynamics. To bridge this perceptu…

cs.CV2026

PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

Yuji Wang, Yuheng Chen, Teng Hu +7

Video generation is rapidly evolving from single-shot clips to multi-shot narratives, where the human character serves as the core narrative anchor. However, existing benchmarks ma…

cs.CV2026

HeadLighter: Disentangling Illumination in Generative 3D Gaussian Heads via Lightstage Captures

Yating Wang, Yuan Sun, Xuan Wang +6

Recent 3D-aware head generative models based on 3D Gaussian Splatting achieve real-time, photorealistic and view-consistent head synthesis. However, a fundamental limitation persis…

cs.CV2025

MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning

Jinkun Hao, Naifu Liang, Zhen Luo +8

The ability of robots to interpret human instructions and execute manipulation tasks necessitates the availability of task-relevant tabletop scenes for training. However, tradition…

cs.CV2025

Collaborative Face Experts Fusion in Video Generation: Boosting Identity Consistency Across Large Face Poses

Yuji Wang, Moran Li, Xiaobin Hu +7

Current video generation models struggle with identity preservation under large face poses, primarily facing two challenges: the difficulty in exploring an effective mechanism to i…

cs.CV2025

Semantic Frame Interpolation

Yijia Hong, Jiangning Zhang, Ran Yi +4

Generating intermediate video content of varying lengths based on given first and last frames, along with text prompt information, offers significant research and application poten…

cs.CV2025

Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations

Yuji Wang, Moran Li, Xiaobin Hu +7

Identity-preserving text-to-video (IPT2V) generation, which aims to create high-fidelity videos with consistent human identity, has become crucial for downstream applications. Howe…

cs.CV2025

3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations

Yating Wang, Xuan Wang, Ran Yi +4

Recent studies have combined 3D Gaussian and 3D Morphable Models (3DMM) to construct high-quality 3D head avatars. In this line of research, existing methods either fail to capture…

cs.CV2024★ 1 cited

Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation

Ke Fan, Jiangning Zhang, Ran Yi +6

Text-to-motion generation is a crucial task in computer vision, which generates the target 3D motion by the given text. The existing annotated datasets are limited in scale, result…

cs.CV2024

ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image

Jinkun Hao, Junshu Tang, Jiangning Zhang +7

While recent works have achieved great success on image-to-3D object generation, high quality and fidelity 3D head generation from a single image remains a great challenge. Previou…

cs.CV2024

FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Ke Fan, Junshu Tang, Weijian Cao +7

Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in their universality, as they are tailored for single-person or two-person scenarios an…

cs.CV2024

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation

Sichen Chen, Yingyi Zhang, Siming Huang +7

Recently, transformer-based methods have achieved state-of-the-art prediction quality on human pose estimation(HPE). Nonetheless, most of these top-performing transformer-based mod…

cs.CV2024

Reconstructing Topology-Consistent Face Mesh by Volume Rendering from Multi-View Images

Yating Wang, Ran Yi, Xiaoning Lei +3

Industrial 3D face assets creation typically reconstructs topology-consistent face meshes from multi-view images for downstream production. However, high-quality reconstruction usu…