1 citations · 2 across the 6 of their papers we have counts for
13 papers · 1 filter
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…
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…
CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities
Yue Gong, Shanyuan Liu, Liuzhuozheng Li +7
We proposed the Chinese Text Adapter-Flux (CTA-Flux). An adaptation method fits the Chinese text inputs to Flux, a powerful text-to-image (TTI) generative model initially trained o…