most citedDiT4Edit: Diffusion Transformer for Image Editing

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Follow-Your-Instruction: A Comprehensive MLLM Agent for World Data Synthesis

Kunyu Feng, Yue Ma, Xinhua Zhang +9

With the growing demands of AI-generated content (AIGC), the need for high-quality, diverse, and scalable data has become increasingly crucial. However, collecting large-scale real…

cs.GR2025

Controllable Video Generation: A Survey

Yue Ma, Kunyu Feng, Zhongyuan Hu +19

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video…

cs.CV2025

Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Yue Ma, Kunyu Feng, Xinhua Zhang +7

We introduce Follow-Your-Creation, a novel 4D video creation framework capable of both generating and editing 4D content from a single monocular video input. By leveraging a powerf…

cs.CV2025

Follow-Your-Color: Multi-Instance Sketch Colorization

Yinhan Zhang, Yue Ma, Bingyuan Wang +2

We present Follow-Your-Color, a diffusion-based framework for multi-instance sketch colorization. The production of multi-instance 2D line art colorization adheres to an industry-s…

cs.CV2025

EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing

Zexuan Yan, Yue Ma, Chang Zou +3

Inversion-based image editing is rapidly gaining momentum while suffering from significant computation overhead, hindering its application in real-time interactive scenarios. In th…

cs.CV20241 cited

DiT4Edit: Diffusion Transformer for Image Editing

Kunyu Feng, Yue Ma, Bingyuan Wang +4

Despite recent advances in UNet-based image editing, methods for shape-aware object editing in high-resolution images are still lacking. Compared to UNet, Diffusion Transformers (D…