Fetching the paper…
Reading the bibliography…
In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities for enhancing user experience and output quality.
Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks, 2016
Alec Radford, Luke Metz, and Soumith Chintala · 2016
Earlier work this paper cites.
Generative adversarial text to image synthesis, 2016
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
Earlier work this paper cites.
Large scale gan training for high fidelity natural image synthesis, 2019
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Earlier work this paper cites.
Semantic image synthesis with spatially-adaptive normalization, 2019
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
Earlier work this paper cites.
Generating diverse high-fidelity images with vq-vae-2, 2019
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
Earlier work this paper cites.
Glean: Generative latent bank for large-factor image super-resolution, 2020
Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations, 2021
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Cited alongside, same era.
Flashattention: Fast and memory-efficient exact attention with io-awareness, 2022
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
Cited alongside, same era.
Classifier-free diffusion guidance, 2022
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Auto-encoding variational bayes, 2022
Diederik P Kingma and Max Welling · 2022
Cited alongside, same era.
Null-text inversion for editing real images using guided diffusion models, 2022
An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, and Daniel Cohen-or · 2023
Closest in time.
Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy · 2023
Closest in time.
Stable bias: Analyzing societal representations in diffusion models
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2023
Closest in time.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, 2023
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Closest in time.
Styledrop: Text-to-image generation in any style, 2023
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, and Dilip Krishnan · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
Cited alongside, same era.
Self-attention does not need o ( n 2 ) o(n^{2}) memory, 2022
Markus N. Rabe and Charles Staats · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models, 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models, 2023
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, and Kimin Lee · 2023
Cited alongside, same era.
Closest in time.
Zeroth-order optimization meets human feedback: Provable learning via ranking oracles, 2023
Zhiwei Tang, Dmitry Rybin, and Tsung-Hui Chang · 2023
Closest in time.
Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, and Hongsheng Li · 2023
Closest in time.
Prompt-free diffusion: Taking ”text” out of text-to-image diffusion models, 2023
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, and Humphrey Shi · 2023
Closest in time.
[Major Update] Reference-only Control · Mikubill/sd-webui-controlnet · Discussion #1236, 2023
Lvmin Zhang · 2023
Closest in time.