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Differentiable Solver Search for Fast Diffusion Sampling
Shuai Wang, Zexian Li, Qipeng zhang +5
Diffusion models have demonstrated remarkable generation quality but at the cost of numerous function evaluations. Recently, advanced ODE-based solvers have been developed to mitig…
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging
Tianhui Song, Weixin Feng, Shuai Wang +4
The success of text-to-image (T2I) generation models has spurred a proliferation of numerous model checkpoints fine-tuned from the same base model on various specialized datasets.…
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…
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…
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
Shuai Wang, Zexian Li, Tianhui Song +4
Arbitrary-resolution image generation still remains a challenging task in AIGC, as it requires handling varying resolutions and aspect ratios while maintaining high visual quality.…
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…
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…
Accelerating Image Generation with Sub-path Linear Approximation Model
Chen Xu, Tianhui Song, Weixin Feng +4
Diffusion models have significantly advanced the state of the art in image, audio, and video generation tasks. However, their applications in practical scenarios are hindered by sl…