Liu, Daochang

19 publications

ICLR 2025 Anti-Exposure Bias in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

CVPR 2025 Enhancing Privacy-Utility Trade-Offs to Mitigate Memorization in Diffusion Models Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

ICLR 2025 Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

ICLRW 2025 Investigating Memorization in Video Diffusion Models Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu

ICLR 2025 Representative Guidance: Diffusion Model Sampling with Coherence Anh-Dung Dinh, Daochang Liu, Chang Xu

IJCAI 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu

ICML 2024 Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu

ICLRW 2024 Efficient Transfer Learning in Diffusion Models via Adversarial Noise Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu

CVPR 2024 Residual Learning in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

CVPR 2024 Towards Memorization-Free Diffusion Models Chen Chen, Daochang Liu, Chang Xu

NeurIPS 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu

IJCAI 2023 Calibrating a Deep Neural Network with Its Predecessors Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu

NeurIPS 2023 Contrastive Sampling Chains in Diffusion Models Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu

ICCV 2023 Diffusion Action Segmentation Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

ICCV 2023 Personalized Image Generation for Color Vision Deficiency Population Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu

ICML 2023 PixelAsParam: A Gradient View on Diffusion Sampling with Guidance Anh-Dung Dinh, Daochang Liu, Chang Xu

CVPR 2023 Private Image Generation with Dual-Purpose Auxiliary Classifier Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu

NeurIPS 2023 Rethinking Conditional Diffusion Sampling with Progressive Guidance Anh-Dung Dinh, Daochang Liu, Chang Xu

CVPR 2021 Towards Unified Surgical Skill Assessment Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li