| Encoding in style: a stylegan encoder for image-to-image translation E Richardson, Y Alaluf, O Patashnik, Y Nitzan, Y Azar, S Shapiro, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | 1132 | 2021 |
| Learning Detailed Face Reconstruction From a Single Image E Richardson, M Sela, R Or-El, R Kimmel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 381 | 2017 |
| 3D face reconstruction by learning from synthetic data E Richardson, M Sela, R Kimmel 2016 fourth international conference on 3D vision (3DV), 460-469, 2016 | 360 | 2016 |
| Latent-nerf for shape-guided generation of 3d shapes and textures G Metzer, E Richardson, O Patashnik, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 303 | 2023 |
| Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation M Sela, E Richardson, R Kimmel Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017 | 294 | 2017 |
| TEXTure: Text-Guided Texturing of 3D Shapes E Richardson, G Metzer, Y Alaluf, R Giryes, D Cohen-Or arXiv preprint arXiv:2302.01721, 2023 | 162 | 2023 |
| Set-the-scene: Global-local training for generating controllable nerf scenes D Cohen-Bar, E Richardson, G Metzer, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
| A neural space-time representation for text-to-image personalization Y Alaluf, E Richardson, G Metzer, D Cohen-Or ACM Transactions on Graphics (TOG) 42 (6), 1-10, 2023 | 32 | 2023 |
| It's All About The Scale - Efficient Text Detection Using Adaptive Scaling E Richardson, Y Azar, O Avioz, N Geron, T Ronen, Z Avraham, S Shapiro arXiv preprint arXiv:1907.12122, 2019 | 13 | 2019 |
| Rethinking fun: Frequency-domain utilization networks K Goldberg, S Shapiro, E Richardson, S Avidan arXiv preprint arXiv:2012.03357, 2020 | 10 | 2020 |
| Seboost-boosting stochastic learning using subspace optimization techniques E Richardson, R Herskovitz, B Ginsburg, M Zibulevsky Advances in Neural Information Processing Systems 29, 2016 | 10 | 2016 |
| ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints E Richardson, K Goldberg, Y Alaluf, D Cohen-Or ACM Transactions on Graphics, 2024 | 9* | 2024 |
| NeRN--Learning Neural Representations for Neural Networks M Ashkenazi, Z Rimon, R Vainshtein, S Levi, E Richardson, P Mintz, ... arXiv preprint arXiv:2212.13554, 2022 | 9 | 2022 |
| LCM-Lookahead for Encoder-based Text-to-Image Personalization R Gal, O Lichter, E Richardson, O Patashnik, AH Bermano, G Chechik, ... arXiv preprint arXiv:2404.03620, 2024 | 3 | 2024 |
| Myvlm: Personalizing vlms for user-specific queries Y Alaluf, E Richardson, S Tulyakov, K Aberman, D Cohen-Or arXiv preprint arXiv:2403.14599, 2024 | 2 | 2024 |
| pOps: Photo-Inspired Diffusion Operators E Richardson, Y Alaluf, A Mahdavi-Amiri, D Cohen-Or arXiv preprint arXiv:2406.01300, 2024 | 1 | 2024 |
Daniel Cohen-OrProfessor of Computer Science, Tel Aviv UniversityPotvrđena adresa e-pošte na tau.ac.il
