Search Results for author: Huafeng Kuang

Found 8 papers, 5 papers with code

TraDiffusion: Trajectory-Based Training-Free Image Generation

1 code implementation19 Aug 2024 Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji

In this work, we propose a training-free, trajectory-based controllable T2I approach, termed TraDiffusion.

Image Generation

StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model

1 code implementation11 Aug 2024 Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji

The rapid progress in generative models has given rise to the critical task of AI-Generated Content Stealth (AIGC-S), which aims to create AI-generated images that can evade both forensic detectors and human inspection.

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

1 code implementation11 Apr 2024 Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen

Specifically, for an input conditional control, we use a pre-trained discriminative reward model to extract the corresponding condition of the generated images, and then optimize the consistency loss between the input conditional control and extracted condition.

SSIM

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

no code implementations8 Apr 2024 Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li

Latent diffusion models (LDM) have revolutionized text-to-image generation, leading to the proliferation of various advanced models and diverse downstream applications.

Text-to-Image Generation

ByteEdit: Boost, Comply and Accelerate Generative Image Editing

no code implementations7 Apr 2024 Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu

Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks.

Image Outpainting

DLIP: Distilling Language-Image Pre-training

no code implementations24 Aug 2023 Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji

Furthermore, DLIP succeeds in retaining more than 95% of the performance with 22. 4% parameters and 24. 8% FLOPs compared to the teacher model and accelerates inference speed by 2. 7x.

Image Captioning Image-text Retrieval +5

Latent Feature Relation Consistency for Adversarial Robustness

1 code implementation29 Mar 2023 Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji

Deep neural networks have been applied in many computer vision tasks and achieved state-of-the-art performance.

Adversarial Robustness Relation

CAT:Collaborative Adversarial Training

1 code implementation27 Mar 2023 Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji

By revisiting the previous methods, we find different adversarial training methods have distinct robustness for sample instances.

Adversarial Robustness

Cannot find the paper you are looking for? You can Submit a new open access paper.