OneActor: Consistent Character Generation via Cluster-Conditioned Guidance

no code implementations • 16 Apr 2024 • Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang

Comprehensive experiments show that our method outperforms a variety of baselines with satisfactory character consistency, superior prompt conformity as well as high image quality.

Consistent Character Generation Denoising +1

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation

no code implementations • 28 Mar 2024 • Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong liu, Jingdong Wang

While large-scale pre-trained text-to-image models can synthesize diverse and high-quality human-centered images, novel challenges arise with a nuanced task of "identity fine editing": precisely modifying specific features of a subject while maintaining its inherent identity and context.

Denoising Face Generation

Generalized Category Discovery with Large Language Models in the Loop

no code implementations • 18 Dec 2023 • Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen

Then we propose a Scalable Query strategy to allow LLMs to choose true neighbors of the selected samples from multiple candidate samples.

Active Learning Contrastive Learning

High-content stimulated Raman histology of human breast cancer

no code implementations • 20 Sep 2023 • Hongli Ni, Chinmayee Prabhu Dessai, Haonan Lin, Wei Wang, Shaoxiong Chen, Yuhao Yuan, Xiaowei Ge, Jianpeng Ao, Nolan Vild, Ji-Xin Cheng

Here, we present a high-content stimulated Raman histology (HC-SRH) platform that provides both morphological and chemical information for cancer diagnosis based on un-stained breast tissues.