1 citations · 3 across the 15 of their papers we have counts for
14 papers · 1 filter
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…
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…
Soul: Breathe Life into Digital Human for High-fidelity Long-term Multimodal Animation
Jiangning Zhang, Junwei Zhu, Zhenye Gan +14
We propose a multimodal-driven framework for high-fidelity long-term digital human animation termed , which generates semantically coherent videos from a single-fram…
Transform Trained Transformer for Accelerating Native 4K Video Generation
Jiangning Zhang, Junwei Zhu, Teng Hu +9
Native 4K (21763840) video generation remains a critical challenge due to the quadratic computational explosion of full-attention as spatiotemporal resolution increases, ma…
SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment
Yanxiao Sun, Jiafu Wu, Yun Cao +6
Diffusion-based or flow-based models have achieved significant progress in video synthesis but require multiple iterative sampling steps, which incurs substantial computational ove…
StrandDesigner: Towards Practical Strand Generation with Sketch Guidance
Na Zhang, Moran Li, Chengming Xu +6
Realistic hair strand generation is crucial for applications like computer graphics and virtual reality. While diffusion models can generate hairstyles from text or images, these i…
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…
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…
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…
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…
VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animation
Qilin Wang, Zhengkai Jiang, Chengming Xu +7
Human image animation involves generating a video from a static image by following a specified pose sequence. Current approaches typically adopt a multi-stage pipeline that separat…
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…
DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation
Qilin Wang, Jiangning Zhang, Chengming Xu +7
Facial Appearance Editing (FAE) aims to modify physical attributes, such as pose, expression and lighting, of human facial images while preserving attributes like identity and back…
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation
Yufei Liu, Junwei Zhu, Junshu Tang +6
Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi…