4 citations · 5 across the 8 of their papers we have counts for
9 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…
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…
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…
NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion Transformer
Shanyuan Liu, Jian Zhu, Junda Lu +8
Diffusion Transformers (DiTs) have demonstrated exceptional capabilities in text-to-image synthesis. However, in the domain of controllable text-to-image generation using DiTs, mos…
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Jian Zhu, Shanyuan Liu, Liuzhuozheng Li +9
Makeup transfer aims to apply the makeup style from a reference face to a target face and has been increasingly adopted in practical applications. Existing GAN-based approaches typ…
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Runze He, Bo Cheng, Yuhang Ma +7
In this paper, we propose a unified layout planning and image generation model, PlanGen, which can pre-plan spatial layout conditions before generating images. Unlike previous diff…
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…
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
Bo Cheng, Yuhang Ma, Liebucha Wu +5
The task of layout-to-image generation involves synthesizing images based on the captions of objects and their spatial positions. Existing methods still struggle in complex layout…
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…