{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:59:46Z","timestamp":1774022386269,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":93,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,10]]},"DOI":"10.1145\/3721238.3730628","type":"proceedings-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T08:42:43Z","timestamp":1753260163000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7797-9008","authenticated-orcid":false,"given":"Howard","family":"Zhang","sequence":"first","affiliation":[{"name":"Snap, New York City, USA and Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0076-1454","authenticated-orcid":false,"given":"Yuval","family":"Alaluf","sequence":"additional","affiliation":[{"name":"Tel Aviv University, Tel Aviv, Israel"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0092-9744","authenticated-orcid":false,"given":"Sizhuo","family":"Ma","sequence":"additional","affiliation":[{"name":"Snap, New York City, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2444-2503","authenticated-orcid":false,"given":"Achuta","family":"Kadambi","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5266-3808","authenticated-orcid":false,"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Snap, New York City, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4958-601X","authenticated-orcid":false,"given":"Kfir","family":"Aberman","sequence":"additional","affiliation":[{"name":"Snap, Palo Alto, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_3_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3641519.3657423"},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00664"},{"key":"e_1_3_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72624-8_5"},{"key":"e_1_3_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02058"},{"key":"e_1_3_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897459"},{"key":"e_1_3_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"e_1_3_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00019"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02062"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02121"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01402"},{"key":"e_1_3_3_2_12_1","unstructured":"Pradyumna Chari Sizhuo Ma Daniil Ostashev Achuta Kadambi Gurunandan Krishnan Jian Wang and Kfir Aberman. 2023. Personalized Restoration via Dual-Pivot Tuning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2312.17234 (2023)."},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01172"},{"key":"e_1_3_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00264"},{"key":"e_1_3_3_2_15_1","unstructured":"Yisol Choi Sangkyung Kwak Kyungmin Lee Hyungwon Choi and Jinwoo Shin. 2024. Improving diffusion models for virtual try-on. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.05139 (2024)."},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00525"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"e_1_3_3_2_18_1","doi-asserted-by":"crossref","unstructured":"Gilad Deutch Rinon Gal Daniel Garibi Or Patashnik and Daniel Cohen-Or. 2024. TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. arxiv:https:\/\/arXiv.org\/abs\/2408.00735\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2408.00735","DOI":"10.1145\/3680528.3687612"},{"key":"e_1_3_3_2_19_1","unstructured":"Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion models beat gans on image synthesis. Advances in neural information processing systems 34 (2021) 8780\u20138794."},{"key":"e_1_3_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00248"},{"key":"e_1_3_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00232"},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Rinon Gal Or Lichter Elad Richardson Or Patashnik Amit\u00a0H Bermano Gal Chechik and Daniel Cohen-Or. 2024. LCM-Lookahead for Encoder-based Text-to-Image Personalization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.03620 (2024).","DOI":"10.1007\/978-3-031-72630-9_19"},{"key":"e_1_3_3_2_23_1","doi-asserted-by":"crossref","unstructured":"Daniel Garibi Or Patashnik Andrey Voynov Hadar Averbuch-Elor and Daniel Cohen-Or. 2024. ReNoise: Real Image Inversion Through Iterative Noising. arxiv:https:\/\/arXiv.org\/abs\/2403.14602\u00a0[cs.CV]","DOI":"10.1007\/978-3-031-72630-9_23"},{"key":"e_1_3_3_2_24_1","unstructured":"Michal Geyer Omer Bar-Tal Shai Bagon and Tali Dekel. 2023. TokenFlow: Consistent Diffusion Features for Consistent Video Editing. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.10373 (2023)."},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"crossref","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2020. Generative adversarial networks. Commun. ACM 63 11 (2020) 139\u2013144.","DOI":"10.1145\/3422622"},{"key":"e_1_3_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_8"},{"key":"e_1_3_3_2_27_1","unstructured":"Zinan Guo Yanze Wu Zhuowei Chen Lang Chen Peng Zhang and Qian He. 2024. PuLID: Pure and Lightning ID Customization via Contrastive Alignment. arxiv:https:\/\/arXiv.org\/abs\/2404.16022\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2404.16022"},{"key":"e_1_3_3_2_28_1","unstructured":"Amir Hertz Ron Mokady Jay Tenenbaum Kfir Aberman Yael Pritch and Daniel Cohen-Or. 2022. Prompt-to-prompt image editing with cross attention control. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2208.01626 (2022)."},{"key":"e_1_3_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00457"},{"key":"e_1_3_3_2_30_1","unstructured":"Edward\u00a0J. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2021. LoRA: Low-Rank Adaptation of Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2106.09685\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2106.09685"},{"key":"e_1_3_3_2_31_1","first-page":"8153","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Hu Li","year":"2024","unstructured":"Li Hu. 2024. Animate anyone: Consistent and controllable image-to-video synthesis for character animation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 8153\u20138163."},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"e_1_3_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00594"},{"key":"e_1_3_3_2_34_1","volume-title":"European Conference on Computer Vision (ECCV)","author":"Kang Minguk","year":"2024","unstructured":"Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, and Taesung Park. 2024. Distilling Diffusion Models into Conditional GANs. In European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"crossref","unstructured":"Tero Karras Miika Aittala Timo Aila and Samuli Laine. 2022. Elucidating the design space of diffusion-based generative models. Advances in neural information processing systems 35 (2022) 26565\u201326577.","DOI":"10.52202\/068431-1926"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01462"},{"key":"e_1_3_3_2_37_1","unstructured":"Deokyun Kim Minseon Kim Gihyun Kwon and Dae-Shik Kim. 2019. Progressive face super-resolution via attention to facial landmark. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1908.08239 (2019)."},{"key":"e_1_3_3_2_38_1","unstructured":"Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji and Stefano Ermon. 2023. Consistency trajectory models: Learning probability flow ode trajectory of diffusion. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.02279 (2023)."},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"crossref","unstructured":"Wei-Sheng Lai Yichang Shih Lun-Cheng Chu Xiaotong Wu Sung-Fang Tsai Michael Krainin Deqing Sun and Chia-Kai Liang. 2022. Face deblurring using dual camera fusion on mobile phones. ACM Transactions on Graphics (TOG) 41 4 (2022) 1\u201316.","DOI":"10.1145\/3528223.3530131"},{"key":"e_1_3_3_2_40_1","unstructured":"Wenjie Li Mei Wang Kai Zhang Juncheng Li Xiaoming Li Yuhang Zhang Guangwei Gao Weihong Deng and Chia-Wen Lin. 2023. Survey on Deep Face Restoration: From Non-blind to Blind and Beyond. arxiv:https:\/\/arXiv.org\/abs\/2309.15490\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2309.15490"},{"key":"e_1_3_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_23"},{"key":"e_1_3_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00278"},{"key":"e_1_3_3_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_17"},{"key":"e_1_3_3_2_44_1","unstructured":"Xiaoming Li Shiguang Zhang Shangchen Zhou Lei Zhang and Wangmeng Zuo. 2022. Learning dual memory dictionaries for blind face restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 5 (2022) 5904\u20135917."},{"key":"e_1_3_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"e_1_3_3_2_46_1","unstructured":"Shanchuan Lin Anran Wang and Xiao Yang. 2024. Sdxl-lightning: Progressive adversarial diffusion distillation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.13929 (2024)."},{"key":"e_1_3_3_2_47_1","unstructured":"Xinqi Lin Jingwen He Ziyan Chen Zhaoyang Lyu Bo Dai Fanghua Yu Wanli Ouyang Yu Qiao and Chao Dong. 2023. Diffbir: Towards blind image restoration with generative diffusion prior. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.15070 (2023)."},{"key":"e_1_3_3_2_48_1","volume-title":"The Twelfth International Conference on Learning Representations","author":"Liu Xingchao","year":"2023","unstructured":"Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, et\u00a0al. 2023. Instaflow: One step is enough for high-quality diffusion-based text-to-image generation. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_3_2_49_1","doi-asserted-by":"crossref","unstructured":"Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li and Jun Zhu. 2022a. Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps. Advances in Neural Information Processing Systems 35 (2022) 5775\u20135787.","DOI":"10.52202\/068431-0418"},{"key":"e_1_3_3_2_50_1","unstructured":"Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li and Jun Zhu. 2022b. Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2211.01095 (2022)."},{"key":"e_1_3_3_2_51_1","unstructured":"Eric Luhman and Troy Luhman. 2021. Knowledge distillation in iterative generative models for improved sampling speed. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2101.02388 (2021)."},{"key":"e_1_3_3_2_52_1","unstructured":"Simian Luo Yiqin Tan Longbo Huang Jian Li and Hang Zhao. 2023. Latent consistency models: Synthesizing high-resolution images with few-step inference. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.04378 (2023)."},{"key":"e_1_3_3_2_53_1","doi-asserted-by":"crossref","unstructured":"Xuan Luo Xuaner Zhang Paul Yoo Ricardo Martin-Brualla Jason Lawrence and Steven\u00a0M Seitz. 2021. Time-travel rephotography. ACM Transactions on Graphics (TOG) 40 6 (2021) 1\u201312.","DOI":"10.1145\/3478513.3480485"},{"key":"e_1_3_3_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01374"},{"key":"e_1_3_3_2_55_1","unstructured":"Chong Mou Xintao Wang Jiechong Song Ying Shan and Jian Zhang. 2023. Dragondiffusion: Enabling drag-style manipulation on diffusion models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.02421 (2023)."},{"key":"e_1_3_3_2_56_1","unstructured":"Alex Nichol Prafulla Dhariwal Aditya Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever and Mark Chen. 2022. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. arxiv:https:\/\/arXiv.org\/abs\/2112.10741\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2112.10741"},{"key":"e_1_3_3_2_57_1","doi-asserted-by":"crossref","unstructured":"Yotam Nitzan Kfir Aberman Qiurui He Orly Liba Michal Yarom Yossi Gandelsman Inbar Mosseri Yael Pritch and Daniel Cohen-Or. 2022. Mystyle: A personalized generative prior. ACM Transactions on Graphics (TOG) 41 6 (2022) 1\u201310.","DOI":"10.1145\/3550454.3555436"},{"key":"e_1_3_3_2_58_1","unstructured":"Maxime Oquab Timoth\u00e9e Darcet Th\u00e9o Moutakanni Huy Vo Marc Szafraniec Vasil Khalidov Pierre Fernandez Daniel Haziza Francisco Massa Alaaeldin El-Nouby et\u00a0al. 2023. Dinov2: Learning robust visual features without supervision. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.07193 (2023)."},{"key":"e_1_3_3_2_59_1","unstructured":"Gaurav Parmar Taesung Park Srinivasa Narasimhan and Jun-Yan Zhu. 2024. One-step image translation with text-to-image models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.12036 (2024)."},{"key":"e_1_3_3_2_60_1","unstructured":"William Peebles and Saining Xie. 2023. Scalable Diffusion Models with Transformers. arxiv:https:\/\/arXiv.org\/abs\/2212.09748\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2212.09748"},{"key":"e_1_3_3_2_61_1","unstructured":"Justin N.\u00a0M. Pinkney. 2023. Trailer Faces HQ. https:\/\/huggingface.co\/datasets\/justinpinkney\/trailer-faces-hq\/."},{"key":"e_1_3_3_2_62_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15063"},{"key":"e_1_3_3_2_63_1","unstructured":"Aditya Ramesh Prafulla Dhariwal Alex Nichol Casey Chu and Mark Chen. 2022. Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2204.06125 (2022)."},{"key":"e_1_3_3_2_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00232"},{"key":"e_1_3_3_2_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_3_2_66_1","unstructured":"Tim Salimans and Jonathan Ho. 2022. Progressive distillation for fast sampling of diffusion models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2202.00512 (2022)."},{"key":"e_1_3_3_2_67_1","unstructured":"Axel Sauer Dominik Lorenz Andreas Blattmann and Robin Rombach. 2023. Adversarial diffusion distillation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.17042 (2023)."},{"key":"e_1_3_3_2_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00862"},{"key":"e_1_3_3_2_69_1","series-title":"Proceedings of Machine Learning Research","first-page":"32211","volume-title":"Proceedings of the 40th International Conference on Machine Learning","volume":"202","author":"Song Yang","year":"2023","unstructured":"Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever. 2023. Consistency Models. In Proceedings of the 40th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0202), Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett (Eds.). PMLR, 32211\u201332252. https:\/\/proceedings.mlr.press\/v202\/song23a.html"},{"key":"e_1_3_3_2_70_1","unstructured":"Luming Tang Menglin Jia Qianqian Wang Cheng\u00a0Perng Phoo and Bharath Hariharan. 2023. Emergent Correspondence from Image Diffusion. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2306.03881 (2023)."},{"key":"e_1_3_3_2_71_1","doi-asserted-by":"crossref","unstructured":"Yoad Tewel Omri Kaduri Rinon Gal Yoni Kasten Lior Wolf Gal Chechik and Yuval Atzmon. 2024. Training-free consistent text-to-image generation. ACM Transactions on Graphics (TOG) 43 4 (2024) 1\u201318.","DOI":"10.1145\/3658157"},{"key":"e_1_3_3_2_72_1","doi-asserted-by":"crossref","unstructured":"Omer Tov Yuval Alaluf Yotam Nitzan Or Patashnik and Daniel Cohen-Or. 2021. Designing an encoder for stylegan image manipulation. ACM Transactions on Graphics (TOG) 40 4 (2021) 1\u201314.","DOI":"10.1145\/3450626.3459838"},{"key":"e_1_3_3_2_73_1","doi-asserted-by":"crossref","unstructured":"Narek Tumanyan Michal Geyer Shai Bagon and Tali Dekel. 2023. Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation. (June 2023) 1921\u20131930.","DOI":"10.1109\/CVPR52729.2023.00191"},{"key":"e_1_3_3_2_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00230"},{"key":"e_1_3_3_2_75_1","unstructured":"A Vaswani. 2017. Attention is all you need. Advances in Neural Information Processing Systems (2017)."},{"key":"e_1_3_3_2_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00669"},{"key":"e_1_3_3_2_77_1","volume-title":"Proceedings of the Asian Conference on Computer Vision","author":"Wang Kaili","year":"2020","unstructured":"Kaili Wang, Jose Oramas, and Tinne Tuytelaars. 2020. Multiple exemplars-based hallucination for face super-resolution and editing. In Proceedings of the Asian Conference on Computer Vision."},{"key":"e_1_3_3_2_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00905"},{"key":"e_1_3_3_2_79_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"e_1_3_3_2_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01699"},{"key":"e_1_3_3_2_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00170"},{"key":"e_1_3_3_2_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00701"},{"key":"e_1_3_3_2_83_1","unstructured":"Zongze Wu Nicholas Kolkin Jonathan Brandt Richard Zhang and Eli Shechtman. 2024. TurboEdit: Instant text-based image editing. arxiv:https:\/\/arXiv.org\/abs\/2408.08332\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2408.08332"},{"key":"e_1_3_3_2_84_1","unstructured":"Xiaoyu Xiang Jon Morton Fitsum\u00a0A Reda Lucas Young Federico Perazzi Rakesh Ranjan Amit Kumar Andrea Colaco and Jan Allebach. 2022. HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. arxiv:https:\/\/arXiv.org\/abs\/2203.14863\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2203.14863"},{"key":"e_1_3_3_2_85_1","unstructured":"Sirui Xie Zhisheng Xiao Diederik\u00a0P Kingma Tingbo Hou Ying\u00a0Nian Wu Kevin\u00a0Patrick Murphy Tim Salimans Ben Poole and Ruiqi Gao. 2024. EM Distillation for One-step Diffusion Models. arxiv:https:\/\/arXiv.org\/abs\/2405.16852\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2405.16852"},{"key":"e_1_3_3_2_86_1","unstructured":"Yanwu Xu Yang Zhao Zhisheng Xiao and Tingbo Hou. 2023. UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. arxiv:https:\/\/arXiv.org\/abs\/2311.09257\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2311.09257"},{"key":"e_1_3_3_2_87_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413965"},{"key":"e_1_3_3_2_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00073"},{"key":"e_1_3_3_2_89_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_14"},{"key":"e_1_3_3_2_90_1","unstructured":"Zongsheng Yue and Chen\u00a0Change Loy. 2024. Difface: Blind face restoration with diffused error contraction. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)."},{"key":"e_1_3_3_2_91_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"e_1_3_3_2_92_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_3_2_93_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00750"},{"key":"e_1_3_3_2_94_1","doi-asserted-by":"crossref","unstructured":"Shangchen Zhou Kelvin Chan Chongyi Li and Chen\u00a0Change Loy. 2022. Towards robust blind face restoration with codebook lookup transformer. Advances in Neural Information Processing Systems 35 (2022) 30599\u201330611.","DOI":"10.52202\/068431-2218"}],"event":{"name":"SIGGRAPH Conference Papers '25: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","location":"Vancouver BC Canada","acronym":"SIGGRAPH Conference Papers '25","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3721238.3730628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:01:51Z","timestamp":1774018911000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3721238.3730628"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,27]]},"references-count":93,"alternative-id":["10.1145\/3721238.3730628","10.1145\/3721238"],"URL":"https:\/\/doi.org\/10.1145\/3721238.3730628","relation":{},"subject":[],"published":{"date-parts":[[2025,7,27]]},"assertion":[{"value":"2025-07-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}