| Zero-shot image-to-image translation G Parmar, K Kumar Singh, R Zhang, Y Li, J Lu, JY Zhu ACM SIGGRAPH 2023 conference proceedings, 1-11, 2023 | 656 | 2023 |
| On Aliased Resizing and Surprising Subtleties in GAN Evaluation G Parmar, R Zhang, JY Zhu CVPR 2022, 2022 | 596* | 2022 |
| Guided Variational Autoencoder for Disentanglement Learning Z Ding, Y Xu, W Xu, G Parmar, Y Yang, M Welling, Z Tu CVPR 2020, 2020 | 165 | 2020 |
| One-step image translation with text-to-image models G Parmar, T Park, S Narasimhan, JY Zhu arXiv preprint arXiv:2403.12036, 2024 | 136 | 2024 |
| Dual contradistinctive generative autoencoder G Parmar, D Li, K Lee, Z Tu CVPR 2021, 2021 | 116 | 2021 |
| On the content bias in fréchet video distance S Ge, A Mahapatra, G Parmar, JY Zhu, JB Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 67 | 2024 |
| Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing G Parmar, Y Li, J Lu, R Zhang, JY Zhu, KK Singh CVPR 2022, 11399-11409, 2022 | 59 | 2022 |
| CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting P Schaldenbrand, G Parmar, JY Zhu, J McCann, J Oh IEEE International Conference on Robotics and Automation (ICRA), 2024 | 25 | 2024 |
| Geometry-Aware End-to-End Skeleton Detection W Xu, G Parmar, Z Tu BMVC 2019, 2019 | 17* | 2019 |
| Affordable smart wheelchair I Gomez Torres, G Parmar, S Aggarwal, N Mansur, A Guthrie Extended Abstract at CHI 2019, 1-6, 2019 | 12 | 2019 |
| Object-level visual prompts for compositional image generation G Parmar, O Patashnik, KC Wang, D Ostashev, S Narasimhan, JY Zhu, ... Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 1-12, 2025 | 10 | 2025 |
| Utilizing regularized forward diffusion for improved inversion of digital images Y Li, R Zhang, KK Singh, J Lu, G Parmar, JY Zhu US Patent App. 18/178,212, 2024 | 3 | 2024 |
| Scaling group inference for diverse and high-quality generation G Parmar, O Patashnik, D Ostashev, KC Wang, K Aberman, ... arXiv preprint arXiv:2508.15773, 2025 | 2 | 2025 |
| AI for Creative Visual Content Generation, Editing and Understanding O Patashnik, G Parmar, A Rao, O Kara, F Caba Heilbron, D Cohen-Or, ... Proceedings of the Special Interest Group on Computer Graphics and …, 2025 | 2 | 2025 |
| Utilizing cross-attention guidance to preserve content in diffusion-based image modifications Y Li, R Zhang, KK Singh, J Lu, G Parmar, JY Zhu US Patent 12,333,636, 2025 | 1 | 2025 |
| Utilizing machine learning models to generate image editing directions in a latent space Y Li, R Zhang, KK Singh, J Lu, G Parmar, JY Zhu US Patent App. 18/178,167, 2024 | 1 | 2024 |
| Utilizing machine learning models to generate image editing directions in a latent space Y Li, R Zhang, KK Singh, J Lu, G Parmar, JY Zhu US Patent App. 19/224,170, 2025 | | 2025 |
| Image inversion using multiple latent spaces G Parmar, KK Singh, Y Li, R Zhang, J Lu US Patent 12,159,413, 2024 | | 2024 |
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
