Zeyinzi Jiang

According to our database1, Zeyinzi Jiang authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training.
CoRR, March, 2026

2025
Unison: A Fully Automatic, Task-Universal, and Low-Cost Framework for Unified Understanding and Generation.
CoRR, December, 2025

Wan: Open and Advanced Large-Scale Video Generative Models.
CoRR, March, 2025

VACE: All-in-One Video Creation and Editing.
CoRR, March, 2025

ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

VACE: All-in-One Video Creation and Editing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

StyleBooth: Image Style Editing with Multimodal Instruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer.
CoRR, 2024

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.
CoRR, 2024

Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance.
CoRR, 2024

SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Res-Attn : An Enhanced Res-Tuning Approach with Lightweight Attention Mechanism.
CoRR, 2023

Rethinking Efficient Tuning Methods from a Unified Perspective.
CoRR, 2023

Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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