Fetching the paper…
Reading the bibliography…
Text-to-image diffusion models suffer from the risk of generating outdated, copyrighted, incorrect, and biased content.
Anderson, J.A.: A simple neural network generating an interactive memory. Mathematical biosciences (1972)
1972
Earlier work this paper cites.
Kohonen, T.: Correlation matrix memories. IEEE transactions on computers (1972)
1972
Earlier work this paper cites.
McCloskey, M., Cohen, N.J.: Catastrophic interference in connectionist networks: The sequential learning problem. In: Psychology of learning and motivation (1989)
1989
Earlier work this paper cites.
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: CVPR (2009)
2009
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: ECCV (2014)
2014
Earlier work this paper cites.
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. In: NeurIPS (2017)
2017
Earlier work this paper cites.
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: CVPR (2018)
2018
Earlier work this paper cites.
Zhao, J., Wang, T., Yatskar, M., Ordonez, V., Chang, K.W.: Gender bias in coreference resolution: Evaluation and debiasing methods. In: NAACL (2018)
2018
Earlier work this paper cites.
Gandhi, S., Kokkula, S., Chaudhuri, A., Magnani, A., Stanley, T., Ahmadi, B., Kandaswamy, V., Ovenc, O., Mannor, S.: Scalable detection of offensive and non-compliant content / logo in product images. In: WACV (2020)
2020
Earlier work this paper cites.
Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. In: NeurIPS (2021)
2021
Earlier work this paper cites.
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., Houlsby, N.: An image is worth 16x16 words: Transformers for image recognition at scale. In: ICLR (2021)
2021
Earlier work this paper cites.
Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: ICML (2021)
2021
Earlier work this paper cites.
Stable Diffusion v1.4. https://huggingface.co/CompVis/stable-diffusion-v-1-4-original (2022)
2022
Earlier work this paper cites.
Stable Diffusion v2.0. https://huggingface.co/stabilityai/stable-diffusion-2 (2022)
2022
Cited alongside, same era.
Ho, J., Saharia, C., Chan, W., Fleet, D.J., Norouzi, M., Salimans, T.: Cascaded diffusion models for high fidelity image generation. JMLR (2022)
2022
Cited alongside, same era.
Li, J., Li, D., Xiong, C., Hoi, S.: Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation. In: ICML (2022)
2022
Cited alongside, same era.
Meng, K., Bau, D., Andonian, A., Belinkov, Y.: Locating and editing factual associations in gpt. In: NeurIPS (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Kim, S., Jung, S., Kim, B., Choi, M., Shin, J., Lee, J.: Towards safe self-distillation of internet-scale text-to-image diffusion models. In: ICML (2023)
2023
Later among the works it cites.
Kumari, N., Zhang, B., Wang, S.Y., Shechtman, E., Zhang, R., Zhu, J.Y.: Ablating concepts in text-to-image diffusion models. In: CVPR (2023)
2023
Later among the works it cites.
Luccioni, S., Akiki, C., Mitchell, M., Jernite, Y.: Stable bias: Evaluating societal representations in diffusion models. In: NeurIPS (2023)
2023
Later among the works it cites.
Meng, K., Sharma, A.S., Andonian, A.J., Belinkov, Y., Bau, D.: Mass-editing memory in a transformer. In: ICLR (2023)
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: CVPR (2022)
2022
Cited alongside, same era.
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S.K.S., Gontijo-Lopes, R., Ayan, B.K., Salimans, T., Ho, J., Fleet, D.J., Norouzi, M.: Photorealistic text-to-image diffusion models with deep language understanding. In: NeurIPS (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Midjourny. https://www.midjourney.com/ (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
Cho, J., Zala, A., Bansal, M.: Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models. In: ICCV (2023)
2023
Cited alongside, same era.
Gandikota, R., Materzyńska, J., Fiotto-Kaufman, J., Bau, D.: Erasing concepts from diffusion models. In: ICCV (2023)
2023
Cited alongside, same era.
2023
Later among the works it cites.
OpenAI: ChatGPT. https://openai.com/blog/chatgpt (2023)
2023
Later among the works it cites.
OpenAI: Dall-e-3. https://openai.com/dall-e-3 (2023)
2023
Later among the works it cites.
Orgad, H., Kawar, B., Belinkov, Y.: Editing implicit assumptions in text-to-image diffusion models. In: ICCV (2023)
2023
Later among the works it cites.
Schramowski, P., Brack, M., Deiseroth, B., Kersting, K.: Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models. In: CVPR (2023)
2023
Later among the works it cites.
Shan, S., Cryan, J., Wenger, E., Zheng, H., Hanocka, R., Zhao, B.Y.: Glaze: Protecting artists from style mimicry by Text-to-Image models. In: USENIX Security (2023)
2023
Later among the works it cites.
Somepalli, G., Singla, V., Goldblum, M., Geiping, J., Goldstein, T.: Diffusion art or digital forgery? investigating data replication in diffusion models. In: CVPR (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Gandikota, R., Orgad, H., Belinkov, Y., Materzyńska, J., Bau, D.: Unified concept editing in diffusion models. In: WACV (2024)
2024
Closest in time.