1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
Likun Li, Haoqi Zeng, Changpeng Yang +2
The objective of personalization and stylization in text-to-image is to instruct a pre-trained diffusion model to analyze new concepts introduced by users and incorporate them into…
cs.CV2023
DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing
Haozhe Jia, Yan Li, Hengfei Cui +3
In this work, we focus on exploring explicit fine-grained control of generative facial image editing, all while generating faithful facial appearances and consistent semantic detai…