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Bingchen Liu
Bingchen Liu
Research Scientist, Playground AI.
Verified email at playgroundai.com
Title
Cited by
Cited by
Year
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
892*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
4942018
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
3052021
The Shape of Art History in the Eyes of the Machine
A Elgammal, B Liu, D Kim, M Elhoseiny, M Mazzone
AAAI 2018, 2018
1782018
Common Diffusion Noise Schedules and Sample Steps are Flawed
S Lin, B Liu, J Li, X Yang
WACV 2024, 2023
1492023
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
1242019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
B Liu, Y Zhu, Z Fu, G de Melo, A Elgammal
AAAI 2020, 2019
512019
Shifted Diffusion for Text-to-image Generation
Z Yufan, L Bingchen, Z Yizhe, Y Xiao, C Changyou, X Jinhui
CVPR 2023, https://arxiv.org/abs/2211.15388, 2022
47*2022
Self-Supervised Sketch-to-Image Synthesis
B Liu, Y Zhu, K Song, A Elgammal
AAAI 2021, 2020
472020
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches
B Liu, K Song, A Elgammal
ACCV 2020 & SIGGRAPH 2020 Real-Time Live!, 2020
432020
TIME: Text and Image Mutual-Translation Adversarial Networks
B Liu, K Song, Y Zhu, G de Melo, A Elgammal
AAAI 2021, 2020
362020
Diffusion guided domain adaptation of image generators
K Song, L Han, B Liu, D Metaxas, A Elgammal
WACV 2024, 2022
292022
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
212018
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
B Liu, E Akhgari, A Visheratin, A Kamko, L Xu, S Shrirao, J Souza, ...
https://arxiv.org/abs/2409.10695, 2024
202024
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
92024
Moma: Multimodal llm adapter for fast personalized image generation
K Song, Y Zhu, B Liu, Q Yan, A Elgammal, X Yang
European Conference on Computer Vision, 117-132, 2024
82024
Generation of story videos corresponding to user input using generative models
LIU Bingchen, KC Wong, P Li, T Lexin
US Patent App. 18/067,642, 2023
22023
Generation of visual effects based on text
LIU Bingchen, KC Wong, BG Fuselier, L Zhou, D Lee
US Patent 12,057,142, 2024
12024
Generation of curated training data for diffusion models
LIU Bingchen, Y Zhu, X Yang
US Patent App. 18/052,865, 2024
12024
Generation of image corresponding to input text using dynamic value clipping
LIU Bingchen, Y Zhu, X Yang
US Patent 12,136,141, 2024
2024
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