Fetching the paper…
Reading the bibliography…
Diffusion models have significantly improved the performance of image editing.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,”
2014
Earlier work this paper cites.
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,” in
2017
Earlier work this paper cites.
D. Ha and J. Schmidhuber, “World models,”
2018
Earlier work this paper cites.
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang, “The unreasonable effectiveness of deep features as a perceptual metric,” in
2018
Earlier work this paper cites.
A. El-Nouby, S. Sharma, H. Schulz, D. Hjelm, L. E. Asri, S. E. Kahou, Y. Bengio, and G. W. Taylor, “Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction,” in
2019
Earlier work this paper cites.
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole, “Score-based generative modeling through stochastic differential equations,” in
2020
Earlier work this paper cites.
J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” in
2020
Earlier work this paper cites.
J. Song, C. Meng, and S. Ermon, “Denoising diffusion implicit models,”
2020
Earlier work this paper cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell,
2020
Earlier work this paper cites.
Y. Viazovetskyi, V. Ivashkin, and E. Kashin, “Stylegan2 distillation for feed-forward image manipulation,” in
2020
Earlier work this paper cites.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark,
2021
Earlier work this paper cites.
P. Dhariwal and A. Nichol, “Diffusion models beat gans on image synthesis,” in
2021
Earlier work this paper cites.
A. Vahdat, K. Kreis, and J. Kautz, “Score-based generative modeling in latent space,” in
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
T. Zhang, H.-Y. Tseng, L. Jiang, W. Yang, H. Lee, and I. Essa, “Text as neural operator: Image manipulation by text instruction,” in
2021
Earlier work this paper cites.
N. Tritrong, P. Rewatbowornwong, and S. Suwajanakorn, “Repurposing gans for one-shot semantic part segmentation,” in
2021
Earlier work this paper cites.
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
K. Crowson, S. Biderman, D. Kornis, D. Stander, E. Hallahan, L. Castricato, and E. Raff, “Vqgan-clip: Open domain image generation and editing with natural language guidance,” in
2022
Earlier work this paper cites.
R. Gal, O. Patashnik, H. Maron, A. H. Bermano, G. Chechik, and D. Cohen-Or, “Stylegan-nada: Clip-guided domain adaptation of image generators,”
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
O. Bar-Tal, D. Ofri-Amar, R. Fridman, Y. Kasten, and T. Dekel, “Text2live: Text-driven layered image and video editing,” in
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
J. Ho, C. Saharia, W. Chan, D. J. Fleet, M. Norouzi, and T. Salimans, “Cascaded diffusion models for high fidelity image generation,”
2022
Earlier work this paper cites.
W. Peebles and S. Xie, “Scalable diffusion models with transformers,”
2022
Earlier work this paper cites.
J. Yu, Y. Xu, J. Y. Koh, T. Luong, G. Baid, Z. Wang, V. Vasudevan, A. Ku, Y. Yang, B. K. Ayan,
2022
Earlier work this paper cites.
C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, K. Ghasemipour, R. Gontijo Lopes, B. Karagol Ayan, T. Salimans,
2022
Cited alongside, same era.
A. Q. Nichol, P. Dhariwal, A. Ramesh, P. Shyam, P. Mishkin, B. Mcgrew, I. Sutskever, and M. Chen, “Glide: Towards photorealistic image generation and editing with text-guided diffusion models,” in
2022
Cited alongside, same era.
G. Kim, T. Kwon, and J. C. Ye, “Diffusionclip: Text-guided diffusion models for robust image manipulation,” in
2022
Cited alongside, same era.
G. Kwon and J. C. Ye, “Clipstyler: Image style transfer with a single text condition,” in
2022
Cited alongside, same era.
O. Avrahami, D. Lischinski, and O. Fried, “Blended diffusion for text-driven editing of natural images,” in
2022
Cited alongside, same era.
B. Kawar, S. Zada, O. Lang, O. Tov, H. Chang, T. Dekel, I. Mosseri, and M. Irani, “Imagic: Text-based real image editing with diffusion models,” in
2023
Later among the works it cites.
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, and K. Aberman, “Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation,” in
2023
Later among the works it cites.
S. Gao, X. Liu, B. Zeng, S. Xu, Y. Li, X. Luo, J. Liu, X. Zhen, and B. Zhang, “Implicit diffusion models for continuous super-resolution,” in
2023
Later among the works it cites.
G. Parmar, K. Kumar Singh, R. Zhang, Y. Li, J. Lu, and J.-Y. Zhu, “Zero-shot image-to-image translation,” in
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…
2022
Cited alongside, same era.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray,
2022
Cited alongside, same era.
B. Poole, A. Jain, J. T. Barron, and B. Mildenhall, “Dreamfusion: Text-to-3d using 2d diffusion,” in
2022
Cited alongside, same era.
D. Li, H. Ling, S. W. Kim, K. Kreis, S. Fidler, and A. Torralba, “Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations,” in
2022
Cited alongside, same era.
W. Peebles, J.-Y. Zhu, R. Zhang, A. Torralba, A. A. Efros, and E. Shechtman, “Gan-supervised dense visual alignment,” in
2022
Cited alongside, same era.
L. Yang, Z. Zhang, Y. Song, S. Hong, R. Xu, Y. Zhao, W. Zhang, B. Cui, and M.-H. Yang, “Diffusion models: A comprehensive survey of methods and applications,”
2023
Cited alongside, same era.
J. Betker, G. Goh, L. Jing, T. Brooks, J. Wang, L. Li, L. Ouyang, J. Zhuang, J. Lee, Y. Guo,
2023
Cited alongside, same era.
2023
Later among the works it cites.
S. Zhang, X. Yang, Y. Feng, C. Qin, C.-C. Chen, N. Yu, Z. Chen, H. Wang, S. Savarese, S. Ermon,
2023
Later among the works it cites.
2023
Later among the works it cites.
J. Z. Wu, Y. Ge, X. Wang, S. W. Lei, Y. Gu, Y. Shi, W. Hsu, Y. Shan, X. Qie, and M. Z. Shou, “Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,” in
2023
Later among the works it cites.
M. Geyer, O. Bar-Tal, S. Bagon, and T. Dekel, “Tokenflow: Consistent diffusion features for consistent video editing,” in
2023
Later among the works it cites.
2023
Later among the works it cites.
C.-H. Lin, J. Gao, L. Tang, T. Takikawa, X. Zeng, X. Huang, K. Kreis, S. Fidler, M.-Y. Liu, and T.-Y. Lin, “Magic3d: High-resolution text-to-3d content creation,” in
2023
Later among the works it cites.
2023
Later among the works it cites.
L. Yang, Z. Yu, C. Meng, M. Xu, S. Ermon, and B. Cui, “Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms,”
2024
Closest in time.
Y. Zhang, J. Xing, E. Lo, and J. Jia, “Real-world image variation by aligning diffusion inversion chain,” in
2024
Closest in time.
Y. Zhang, J. Liu, Y. Song, R. Wang, H. Tang, J. Yu, H. Li, X. Tang, Y. Hu, H. Pan,
2024
Closest in time.
J. Nam, H. Kim, D. Lee, S. Jin, S. Kim, and S. Chang, “Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization,” in
2024
Closest in time.
C. Mou, X. Wang, J. Song, Y. Shan, and J. Zhang, “Dragondiffusion: Enabling drag-style manipulation on diffusion models,” in
2024
Closest in time.
L. Yang, Z. Zhang, Z. Yu, J. Liu, M. Xu, S. Ermon, and B. CUI, “Cross-modal contextualized diffusion models for text-guided visual generation and editing,” in
2024
Closest in time.
D. Podell, Z. English, K. Lacey, A. Blattmann, T. Dockhorn, J. Müller, J. Penna, and R. Rombach, “Sdxl: Improving latent diffusion models for high-resolution image synthesis,” in
2024
Closest in time.
L. Yang, H. Qian, Z. Zhang, J. Liu, and B. Cui, “Structure-guided adversarial training of diffusion models,” in
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
B. Zeng, S. Li, X. Liu, S. Gao, X. Jiang, X. Tang, Y. Hu, J. Liu, and B. Zhang, “Controllable mind visual diffusion model,” in
2024
Closest in time.
Y. Jin, M. Chandra, G. Verma, Y. Hu, M. De Choudhury, and S. Kumar, “Better to ask in english: Cross-lingual evaluation of large language models for healthcare queries,” in
2024
Closest in time.
Y. Jin, M. Choi, G. Verma, J. Wang, and S. Kumar, “Mm-soc: Benchmarking multimodal large language models in social media platforms,” in
2024
Closest in time.
Y. Wang, Y. He, Y. Li, K. Li, J. Yu, X. Ma, X. Li, G. Chen, X. Chen, Y. Wang,
2024
Closest in time.