Fetching the paper…
Reading the bibliography…
Text-to-image models (T2I) offer a new level of flexibility by allowing users to guide the creative process through natural language.
Learning sparse metrics, one feature at a time. In Feature Extraction: Modern Questions and Challenges . PMLR, 30–48
Yuval Atzmon, Uri Shalit, and Gal Chechik. 2015 · 2015
Earlier work this paper cites.
Image2stylegan: How to embed images into the stylegan latent space?. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 4432–4441
Rameen Abdal, Yipeng Qin, and Peter Wonka. 2019 · 2019
Earlier work this paper cites.
Rewriting a Deep Generative Model. In Proceedings of the European Conference on Computer Vision (ECCV)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, and Antonio Torralba. 2020 · 2020
Earlier work this paper cites.
Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Earlier work this paper cites.
From generalized zero-shot learning to long-tail with class descriptors
Dvir Samuel, Yuval Atzmon, and Gal Chechik. 2020 · 2020
Earlier work this paper cites.
Known unknowns: Learning novel concepts using reasoning-by-elimination. In Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (Proceedings of Machine Learning Research, Vol. 161) , Cassio de Campos and Marloes H. Maathuis (Eds.). PMLR, 504–514
Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, and Gal Chechik. 2021 · 2021
Earlier work this paper cites.
David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, and Antonio Torralba. 2021 · 2021
Earlier work this paper cites.
Stylegan-nada: Clip-guided domain adaptation of image generators
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or. 2021 · 2021
Earlier work this paper cites.
Prompt-Based Multi-Modal Image Segmentation
Timo Lüddecke and Alexander S Ecker. 2021 · 2021
Earlier work this paper cites.
Sdedit: Guided image synthesis and editing with stochastic differential equations. In International Conference on Learning Representations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2021 · 2021
Earlier work this paper cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2021 · 2021
Earlier work this paper cites.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision. In International Conference on Machine Learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021 · 2021
Cited alongside, same era.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021 · 2021
Cited alongside, same era.
Blended diffusion for text-driven editing of natural images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18208–18218
Omri Avrahami, Dani Lischinski, and Ohad Fried. 2022 · 2022
Cited alongside, same era.
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani. 2022 · 2022
Later among the works it cites.
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu. 2022 · 2022
Later among the works it cites.
xFormers: A modular and hackable Transformer modelling library
Benjamin Lefaudeux, Francisco Massa, Diana Liskovich, Wenhan Xiong, Vittorio Caggiano, Sean Naren, Min Xu, Jieru Hu, Marta Tintore, Susan Zhang, Patrick Labatut, and Daniel Haziza. 2022 · 2022
Later among the works it cites.
Locating and Editing Factual Associations in GPT
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov. 2022 · 2022
Later among the works it cites.
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, and Ming-Yu Liu. 2022 · 2022
Cited alongside, same era.
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros. 2022 · 2022
Cited alongside, same era.
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations. In European Conference on Computer Vision (ECCV)
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, and Yuval Atzmon. 2022 · 2022
Cited alongside, same era.
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. In Advances in Neural Information Processing Systems
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher Ré. 2022 · 2022
Cited alongside, same era.
Multiresolution Textual Inversion
Giannis Daras and Alexandros G. Dimakis. 2022 · 2022
Cited alongside, same era.
Protogen-v3.4
darkstorm2150. 2022 · 2022
Cited alongside, same era.
InkPunk-v2
Envvi. 2022 · 2022
Cited alongside, same era.
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
HuggingFace DreamBooth Implementation
Suraj Patil and Pedro Cuenca. 2022 · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
DreamBooth: Fine Tuning Text-to-image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
Later among the works it cites.
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
Later among the works it cites.
Unitune: Text-driven image editing by fine tuning an image generation model on a single image
Dani Valevski, Matan Kalman, Yossi Matias, and Yaniv Leviathan. 2022 · 2022
Later among the works it cites.
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung M. Bui, Tong Yu, Zhe Lin, Yang Zhang, and Shiyu Chang. 2022 · 2022
Later among the works it cites.
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. 2022 · 2022
Later among the works it cites.
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arna Ghosh, Dimitris N. Metaxas, and Jian Ren. 2022 · 2022
Later among the works it cites.