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KUNPENG SONG
KUNPENG SONG
Email confirmado em cs.rutgers.edu
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Towards faster and stabilized gan training for high-fidelity few-shot image synthesis
B Liu, Y Zhu, K Song, A Elgammal
International Conference on Learning Representations, 2020
2342020
Self-supervised sketch-to-image synthesis
B Liu, Y Zhu, K Song, A Elgammal
Proceedings of the AAAI conference on artificial intelligence 35 (3), 2073-2081, 2021
382021
Sketch-to-art: Synthesizing stylized art images from sketches
B Liu, K Song, Y Zhu, A Elgammal
Proceedings of the Asian Conference on Computer Vision, 2020
342020
TIME: Text and image mutual-translation adversarial networks
B Liu, K Song, Y Zhu, G De Melo, A Elgammal
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2082-2090, 2021
312021
Diffusion guided domain adaptation of image generators
K Song, L Han, B Liu, D Metaxas, A Elgammal
arXiv preprint arXiv:2212.04473, 2022
222022
Improving negative-prompt inversion via proximal guidance
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ...
arXiv preprint arXiv:2306.05414, 2023
202023
Proxedit: Improving tuning-free real image editing with proximal guidance
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
82024
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
32024
„Beethoven X: Es könnte sein!(It could be!).”
M Gotham, K Song, N Böhlefeld, A Elgammal
Proceedings of the 3rd Conference on AI Music Creativity (AIMC 2022), 2022
22022
Sketch-to-Art: synthesizing stylized art images from hand-drawn sketches with no semantic labeling
A Elgammal, B Liu, K Song
ACM SIGGRAPH 2020 Real-Time Live!, 1-1, 2020
22020
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
12024
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials)
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ...
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