Liu, Bingchen

12 publications

ICML 2025 SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han

WACV 2024 Common Diffusion Noise Schedules and Sample Steps Are Flawed Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

ECCV 2024 MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang

WACV 2024 StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal

CVPR 2023 Shifted Diffusion for Text-to-Image Generation Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

AAAI 2021 Self-Supervised Sketch-to-Image Synthesis Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

AAAI 2021 TIME: Text and Image Mutual-Translation Adversarial Networks Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal

ICLR 2021 Towards Faster and Stabilized GAN Training for High-Fidelity Few-Shot Image Synthesis Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

AAAI 2020 OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal

ICCV 2019 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

CVPR 2018 A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

AAAI 2018 The Shape of Art History in the Eyes of the Machine Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone