5 papers · 2 filters
TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps
Qingsong Xie, Zhenyi Liao, Zhijie Deng +2
Distilling latent diffusion models (LDMs) into ones that are fast to sample from is attracting growing research interest. However, the majority of existing methods face two critica…
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation
Jian Ma, Chen Chen, Qingsong Xie +1
Text-to-image diffusion models are well-known for their ability to generate realistic images based on textual prompts. However, the existing works have predominantly focused on Eng…
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jian Ma, Junhao Liang, Chen Chen +1
Recent progress in personalized image generation using diffusion models has been significant. However, development in the area of open-domain and non-fine-tuning personalized image…
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
Youbo Lei, Feifei He, Chen Chen +4
Due to the success of large-scale visual-language pretraining (VLP) models and the widespread use of image-text retrieval in industry areas, it is now critically necessary to reduc…
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
Sijia Li, Chen Chen, Haonan Lu
Diffusion-model-based text-guided image generation has recently made astounding progress, producing fascinating results in open-domain image manipulation tasks. Few models, however…