Bingchen Liu
Bingchen Liu
Research Scientist, Playground AI.
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CAN: Creative adversarial networks, generating" art" by learning about styles and deviating from style norms
A Elgammal, B Liu, M Elhoseiny, M Mazzone
Ninth International Conference on Computational Creativity, 2017
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Y Zhu, M Elhoseiny, B Liu, X Peng, A Elgammal
CVPR 2018, 1004-1013, 2018
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
B Liu, Y Zhu, K Song, A Elgammal
ICLR-2021, arXiv: 2101.04775, 2021
The Shape of Art History in the Eyes of the Machine
A Elgammal, B Liu, D Kim, M Elhoseiny, M Mazzone
AAAI 2018, 2018
Learning feature-to-feature translator by alternating back-propagation for generative zero-shot learning
Y Zhu, J Xie, B Liu, A Elgammal
ICCV 2019, 9844-9854, 2019
Common Diffusion Noise Schedules and Sample Steps are Flawed
S Lin, B Liu, J Li, X Yang
WACV 2024, 2023
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
B Liu, Y Zhu, Z Fu, G de Melo, A Elgammal
AAAI 2020, 2019
Self-Supervised Sketch-to-Image Synthesis
B Liu, Y Zhu, K Song, A Elgammal
AAAI 2021, 2020
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches
B Liu, K Song, A Elgammal
ACCV 2020 & SIGGRAPH 2020 Real-Time Live!, 2020
TIME: Text and Image Mutual-Translation Adversarial Networks
B Liu, K Song, Y Zhu, G de Melo, A Elgammal
AAAI 2021, 2020
Shifted Diffusion for Text-to-image Generation
Z Yufan, L Bingchen, Z Yizhe, Y Xiao, C Changyou, X Jinhui
CVPR 2023,, 2022
Diffusion guided domain adaptation of image generators
K Song, L Han, B Liu, D Metaxas, A Elgammal
WACV 2024, 2022
Finding principal semantics of style in art
D Kim, B Liu, A Elgammal, M Mazzone
2018 IEEE 12th International Conference on Semantic Computing (ICSC), 156-163, 2018
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
K Song, L Han, B Liu, D Metaxas, A Elgammal
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
K Song, Y Zhu, B Liu, Q Yan, A Elgammal, X Yang
arXiv preprint arXiv:2404.05674, 2024
Disentangled Generative Models and Their Applications
B Liu
Rutgers The State University of New Jersey, School of Graduate Studies, 2022
PIVQGAN: Posture and Identity Disentangled Image-to-Image Translation via Vector Quantization
B Liu, Y Zhu, X Yang, A Elgammal
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