3D Face Reconstruction by Learning from Synthetic Data. - Elad Richardson; Matan Sela; Ron Kimmel (3DV, 2016)

SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. - Elad Richardson; Rom Herskovitz; Boris Ginsburg; Michael Zibulevsky (NIPS, 2016)

Learning Detailed Face Reconstruction from a Single Image. - Elad Richardson; Matan Sela; Roy Or-El; Ron Kimmel (CVPR, 2017)

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation. - Matan Sela; Elad Richardson; Ron Kimmel (ICCV, 2017)

It's All About The Scale - Efficient Text Detection Using Adaptive Scaling. - Elad Richardson; Yaniv Azar; Or Avioz; Niv Geron; Tomer Ronen; Zach Avraham; Stav Shapiro (WACV, 2020)

Rethinking FUN: Frequency-Domain Utilization Networks. - Kfir Goldberg; Stav Shapiro; Elad Richardson; Shai Avidan (CoRR, 2020)

Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation. - Elad Richardson; Yuval Alaluf; Or Patashnik; Yotam Nitzan; Yaniv Azar; Stav Shapiro; Daniel Cohen-Or (CVPR, 2021)

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. - Gal Metzer; Elad Richardson; Or Patashnik; Raja Giryes; Daniel Cohen-Or (CVPR, 2023)

Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. - Dana Cohen-Bar; Elad Richardson; Gal Metzer; Raja Giryes; Daniel Cohen-Or (ICCV (Workshops), 2023)

NeRN: Learning Neural Representations for Neural Networks. - Maor Ashkenazi; Zohar Rimon; Ron Vainshtein; Shir Levi; Elad Richardson; Pinchas Mintz; Eran Treister (ICLR, 2023)

TEXTure: Text-Guided Texturing of 3D Shapes. - Elad Richardson; Gal Metzer; Yuval Alaluf; Raja Giryes; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2023)

ConceptLab: Creative Generation using Diffusion Prior Constraints. - Elad Richardson; Kfir Goldberg; Yuval Alaluf; Daniel Cohen-Or (CoRR, 2023)

A Neural Space-Time Representation for Text-to-Image Personalization. - Yuval Alaluf; Elad Richardson; Gal Metzer; Daniel Cohen-Or (ACM Trans. Graph., 2023)

MyVLM: Personalizing VLMs for User-Specific Queries. - Yuval Alaluf; Elad Richardson; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or (ECCV (13), 2024)

LCM-Lookahead for Encoder-Based Text-to-Image Personalization. - Rinon Gal; Or Lichter; Elad Richardson; Or Patashnik; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or (ECCV (14), 2024)

pOps: Photo-Inspired Diffusion Operators. - Elad Richardson; Yuval Alaluf; Ali Mahdavi-Amiri; Daniel Cohen-Or (CoRR, 2024)

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints. - Elad Richardson; Kfir Goldberg; Yuval Alaluf; Daniel Cohen-Or (ACM Trans. Graph., 2024)

NeuralSVG: An Implicit Representation for Text-to-Vector Generation. - Sagi Polaczek; Yuval Alaluf; Elad Richardson; Yael Vinker; Daniel Cohen-Or (CoRR, 2025)

Piece it Together: Part-Based Concepting with IP-Priors. - Elad Richardson; Kfir Goldberg; Yuval Alaluf; Daniel Cohen-Or (CoRR, 2025)