Elad Richardson
Elad Richardson
Tel Aviv University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
TEXTure: Text-Guided Texturing of 3D Shapes
E Richardson, G Metzer, Y Alaluf, R Giryes, D Cohen-Or
arXiv preprint arXiv:2302.01721, 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
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
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
Rethinking fun: Frequency-domain utilization networks
K Goldberg, S Shapiro, E Richardson, S Avidan
arXiv preprint arXiv:2012.03357, 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
ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints
E Richardson, K Goldberg, Y Alaluf, D Cohen-Or
ACM Transactions on Graphics, 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
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
Myvlm: Personalizing vlms for user-specific queries
Y Alaluf, E Richardson, S Tulyakov, K Aberman, D Cohen-Or
arXiv preprint arXiv:2403.14599, 2024
pOps: Photo-Inspired Diffusion Operators
E Richardson, Y Alaluf, A Mahdavi-Amiri, D Cohen-Or
arXiv preprint arXiv:2406.01300, 2024
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