13 papers
RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition
Binhao Wang, Shihao Zhao, Bo Cheng +6
Recent diffusion-based approaches have made substantial progress in image layer decomposition. However, accurately decomposing complex natural images remains challenging due to dif…
RefTon: Reference person shot assist virtual Try-on
Liuzhuozheng Li, Yue Gong, Shanyuan Liu +7
We introduce RefTon, a flux-based person-to-person virtual try-on framework that enhances garment realism through unpaired visual references. Unlike conventional approaches that re…
RPiAE: A Representation-Pivoted Autoencoder Enhancing Both Image Generation and Editing
Yue Gong, Hongyu Li, Shanyuan Liu +8
Diffusion models have become the dominant paradigm for image generation and editing, with latent diffusion models shifting denoising to a compact latent space for efficiency and sc…
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
Shanyuan Liu, Bo Cheng, Yuhang Ma +5
Text-to-Image generation (TTI) technologies are advancing rapidly, especially in the English language communities. However, apart from the user input language barrier problem, Engl…
NAMI: Efficient Image Generation via Bridged Progressive Rectified Flow Transformers
Yuhang Ma, Bo Cheng, Shanyuan Liu +4
Flow-based Transformer models have achieved state-of-the-art image generation performance, but often suffer from high inference latency and computational cost due to their large pa…
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
Ke Cao, Jing Wang, Ao Ma +11
The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled di…