activity
20242026
most citedRHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Rethinking Scribble-Guided Image Editing: Generalization, Instruction Adherence, and Multi-Tasking

Mingyi Xu, Jinpeng Lin, Min Zhou +2

Scribble-guided image editing allows users to combine simple scribble annotations with text prompts to specify both where and how an image should be edited, enabling flexible inter…

cs.LG2025

Minimal Impact ControlNet: Advancing Multi-ControlNet Integration

Shikun Sun, Min Zhou, Zixuan Wang +7

With the advancement of diffusion models, there is a growing demand for high-quality, controllable image generation, particularly through methods that utilize one or multiple contr…

cs.CV2025

PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering

Yifan Gao, Zihang Lin, Chuanbin Liu +4

Product posters, which integrate subject, scene, and text, are crucial promotional tools for attracting customers. Creating such posters using modern image generation methods is va…

cs.CV2025

SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation

Shang Chai, Zihang Lin, Min Zhou +3

Due to the demand for personalizing image generation, subject-driven text-to-image generation method, which creates novel renditions of an input subject based on text prompts, has…

cs.CV2025

T-Stars-Poster: A Framework for Product-Centric Advertising Image Design

Hongyu Chen, Min Zhou, Jing Jiang +6

Creating advertising images is often a labor-intensive and time-consuming process. Can we automatically generate such images using basic product information like a product foregrou…

cs.CV2024

Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion

Hongyu Chen, Yiqi Gao, Min Zhou +4

Recently, integrating visual controls into text-to-image~(T2I) models, such as ControlNet method, has received significant attention for finer control capabilities. While various t…

cs.CV2024★ 1 cited

RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance

Chengrui Wang, Pengfei Liu, Min Zhou +4

Although diffusion models can generate high-quality human images, their applications are limited by the instability in generating hands with correct structures. In this paper, we i…