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20232026
most citedWan: Open and Advanced Large-Scale Video Generative Models

12 citations · 18 across the 13 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

CoDance: An Unbind-Rebind Paradigm for Robust Multi-Subject Animation

Shuai Tan, Biao Gong, Ke Ma +5

Character image animation is gaining significant importance across various domains, driven by the demand for robust and flexible multi-subject rendering. While existing methods exc…

cs.CV2025★ 12 cited

Wan: Open and Advanced Large-Scale Video Generative Models

Team Wan, Ang Wang, Baole Ai +58

This report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries of video generation. Built upon the mainstream diffusion transfo…

cs.CV2024

Mimir: Improving Video Diffusion Models for Precise Text Understanding

Shuai Tan, Biao Gong, Yutong Feng +6

Text serves as the key control signal in video generation due to its narrative nature. To render text descriptions into video clips, current video diffusion models borrow features…

cs.CV2024★ 1 cited

In-Context LoRA for Diffusion Transformers

Lianghua Huang, Wei Wang, Zhi-Fan Wu +6

Recent research arXiv:2410.15027 has explored the use of diffusion transformers (DiTs) for task-agnostic image generation by simply concatenating attention tokens across images. Ho…

cs.CV2024★ 1 cited

Group Diffusion Transformers are Unsupervised Multitask Learners

Lianghua Huang, Wei Wang, Zhi-Fan Wu +6

While large language models (LLMs) have revolutionized natural language processing with their task-agnostic capabilities, visual generation tasks such as image translation, style t…

cs.CV2024

DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control

Yujie Wei, Shiwei Zhang, Hangjie Yuan +9

Recent advances in customized video generation have enabled users to create videos tailored to both specific subjects and motion trajectories. However, existing methods often requi…

cs.CV2024★ 1 cited

Zero-shot Image Editing with Reference Imitation

Xi Chen, Yutong Feng, Mengting Chen +5

Image editing serves as a practical yet challenging task considering the diverse demands from users, where one of the hardest parts is to precisely describe how the edited image sh…

cs.CV2024★ 3 cited

FlashFace: Human Image Personalization with High-fidelity Identity Preservation

Shilong Zhang, Lianghua Huang, Xi Chen +7

This work presents FlashFace, a practical tool with which users can easily personalize their own photos on the fly by providing one or a few reference face images and a text prompt…

cs.CV2023

LivePhoto: Real Image Animation with Text-guided Motion Control

Xi Chen, Zhiheng Liu, Mengting Chen +4

Despite the recent progress in text-to-video generation, existing studies usually overlook the issue that only spatial contents but not temporal motions in synthesized videos are u…

cs.CV2023

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following

Yutong Feng, Biao Gong, Di Chen +3

Existing text-to-image (T2I) diffusion models usually struggle in interpreting complex prompts, especially those with quantity, object-attribute binding, and multi-subject descript…

cs.CV2023

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation

Siteng Huang, Biao Gong, Yutong Feng +4

This study focuses on a novel task in text-to-image (T2I) generation, namely action customization. The objective of this task is to learn the co-existing action from limited data a…

cs.CV2023

Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation

Biao Gong, Siteng Huang, Yutong Feng +3

Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requi…