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The commercialization of text-to-image diffusion models (DMs) brings forth potential copyright concerns.
Substantial Similarity in Copyright Law
Osterberg, R. C. and Osterberg, E. C · 2003
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Gu, T., Dolan-Gavitt, B., and Garg, S · 2017
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Decoupled weight decay regularization
Loshchilov, I. and Hutter, F · 2017
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Umap: Uniform manifold approximation and projection for dimension reduction
McInnes, L., Healy, J., and Melville, J · 2018
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Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
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Recent trends in image watermarking techniques for copyright protection: a survey
Ray, A. and Roy, S · 2020
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Denoising diffusion implicit models
Song, J., Meng, C., and Ermon, S · 2020
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When is memorization of irrelevant training data necessary for high-accuracy learning?
Brown, G., Bun, M., Feldman, V., Smith, A., and Talwar, K · 2021
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Emerging properties in self-supervised vision transformers
Caron, M., Touvron, H., Misra, I., Jégou, H., Mairal, J., Bojanowski, P., and Joulin, A · 2021
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Towards faster and stabilized gan training for high-fidelity few-shot image synthesis, 2021
Liu, B., Zhu, Y., Song, K., and Elgammal, A · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., and Chen, M · 2021
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Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al · 2021
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Score-based generative modeling through stochastic differential equations
Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2021
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Controllable gradient item retrieval
Wang, H., Zhou, C., Yang, C., Yang, H., and He, J · 2021
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Cold diffusion: Inverting arbitrary image transforms without noise
Bansal, A., Borgnia, E., Chu, H.-M., Li, J. S., Kazemi, H., Huang, F., Goldblum, M., Geiping, J., and Goldstein, T · 2022
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Coyo-700m: Image-text pair dataset
Byeon, M., Park, B., Kim, H., Lee, S., Baek, W., and Kim, S · 2022
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Soft diffusion: Score matching for general corruptions
Daras, G., Delbracio, M., Talebi, H., Dimakis, A. G., and Milanfar, P · 2022
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Cascaded diffusion models for high fidelity image generation
Ho, J., Saharia, C., Chan, W., Fleet, D. J., Norouzi, M., and Salimans, T · 2022
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Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection
Li, Y., Bai, Y., Jiang, Y., Yang, Y., Xia, S.-T., and Li, B · 2022
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Holistic evaluation of language models
Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al · 2022
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Pokemon blip captions
Pinkney, J. N. M · 2022
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A self-supervised descriptor for image copy detection
Pizzi, E., Roy, S. D., Ravindra, S. N., Goyal, P., and Douze, M · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., and Chen, M · 2022
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High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2022
Cited alongside, same era.
Domain watermark: Effective and harmless dataset copyright protection is closed at hand
Guo, J., Li, Y., Wang, L., Xia, S.-T., Huang, H., Liu, C., and Li, B · 2023
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Midjourney v5 prompt dataset
Gupta, T · 2023
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Midjourney-v5 dataset
JohnTeddy3 · 2023
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Generalization in diffusion models arises from geometry-adaptive harmonic representation
Kadkhodaie, Z., Guth, F., Simoncelli, E. P., and Mallat, S · 2023
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Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al · 2023
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Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S. K. S., Ayan, B. K., Mahdavi, S. S., Lopes, R. G., Salimans, T., Ho, J., Fleet, D. J., and Norouzi, M · 2022
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Schuhmann, C., Beaumont, R., Vencu, R., Gordon, C., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., et al · 2022
Cited alongside, same era.
Rickrolling the artist: Injecting invisible backdoors into text-guided image generation models
Struppek, L., Hintersdorf, D., and Kersting, K · 2022
Cited alongside, same era.
A comprehensive survey on poisoning attacks and countermeasures in machine learning
Tian, Z., Cui, L., Liang, J., and Yu, S · 2022
Cited alongside, same era.
Diffusers: State-of-the-art diffusion models
von Platen, P., Patil, S., Lozhkov, A., Cuenca, P., Lambert, N., Rasul, K., Davaadorj, M., and Wolf, T · 2022
Cited alongside, same era.
Training fair deep neural networks by balancing influence
Wang, H., Wu, Z., and He, J · 2022
Cited alongside, same era.
https://huggingface.co/docs/diffusers/training/text2image , 2023
Training text-to-image models · 2023
Cited alongside, same era.
Ablating concepts in text-to-image diffusion models
Kumari, N., Zhang, B., Wang, S.-Y., Shechtman, E., Zhang, R., and Zhu, J.-Y · 2023
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Probabilistic copyright protection can fail for text-to-image generative models
Li, X., Shen, Q., and Kawaguchi, K · 2023
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Li, C., Yang, J., Su, H., Zhu, J., et al · 2023
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From trojan horses to castle walls: Unveiling bilateral backdoor effects in diffusion models
Pan, Z., Yao, Y., Liu, G., Shen, B., Zhao, H. V., Kompella, R. R., and Liu, S · 2023
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Removing nsfw concepts from vision-and-language models for text-to-image retrieval and generation
Poppi, S., Poppi, T., Cocchi, F., Cornia, M., Baraldi, L., and Cucchiara, R · 2023
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Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking
Tang, R., Feng, Q., Liu, N., Yang, F., and Hu, X · 2023
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AI art tools stable diffusion and Midjourney targeted with copyright lawsuit, 2023
Vincent, J · 2023
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Provable copyright protection for generative models
Vyas, N., Kakade, S., and Barak, B · 2023
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Decodingtrust: A comprehensive assessment of trustworthiness in gpt models
Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al · 2023
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Openai unveils dall-e 3, allows artists to opt out of training, 2023
Wiggers, K · 2023
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Text-to-image diffusion models can be easily backdoored through multimodal data poisoning
Zhai, S., Dong, Y., Shen, Q., Pu, S., Fang, Y., and Su, H · 2023
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A recipe for watermarking diffusion models
Zhao, Y., Pang, T., Du, C., Yang, X., Cheung, N.-M., and Lin, M · 2023
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Can ai be as creative as humans?
Wang, H., Zou, J., Mozer, M., Zhang, L., Goyal, A., Lamb, A., Deng, Z., Xie, M. Q., Brown, H., and Kawaguchi, K · 2024
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