| 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 | 221 | 2020 |
| 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 | 35 | 2021 |
| 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 | 30 | 2020 |
| 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 | 28 | 2021 |
| Diffusion guided domain adaptation of image generators K Song, L Han, B Liu, D Metaxas, A Elgammal arXiv preprint arXiv:2212.04473, 2022 | 19 | 2022 |
| 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 | 15 | 2023 |
| 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 | 4 | 2024 |
| 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 | 2 | 2024 |
| „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 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 | | 2024 |
| 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, ... | | |
Ahmed ElgammalRutgers UniversityE-mailová adresa ověřena na: cs.rutgers.edu
