{"url":"/task/image-morphing","name":"Image Morphing","slug":"image-morphing","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":38,"papers_with_code":24,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":24,"of":24,"tagged_in_all":38,"items":[{"url":"/paper/kornia-an-open-source-differentiable-computer","title":"Kornia: an Open Source Differentiable Computer Vision Library for PyTorch","date":"2019-10-05","arxiv_id":"1910.02190","repositories_listed":5,"syntology":{"n":20,"n_ran":0,"n_unverified":20,"n_pointer_only":0}},{"url":"/paper/image2stylegan-how-to-embed-images-into-the","title":"Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?","date":"2019-04-05","arxiv_id":"1904.03189","repositories_listed":5,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/stylegan2-distillation-for-feed-forward-image","title":"StyleGAN2 Distillation for Feed-forward Image Manipulation","date":"2020-03-07","arxiv_id":"2003.03581","repositories_listed":3,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":2}},{"url":"/paper/deep-pcb-to-coco-convertor","title":"Deep PCB To COCO Convertor","date":"2022-05-01","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/neural-best-buddies-sparse-cross-domain","title":"Neural Best-Buddies: Sparse Cross-Domain Correspondence","date":"2018-05-10","arxiv_id":"1805.04140","repositories_listed":2,"syntology":null},{"url":"/paper/srif-semantic-shape-registration-empowered-by","title":"SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation","date":"2024-09-18","arxiv_id":"2409.11682","repositories_listed":1,"syntology":null},{"url":"/paper/greedy-dim-greedy-algorithms-for-unreasonably","title":"Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs","date":"2024-04-09","arxiv_id":"2404.06025","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/on-mitigating-stability-plasticity-dilemma-in","title":"On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss","date":"2024-01-19","arxiv_id":"2401.10526","repositories_listed":1,"syntology":null},{"url":"/paper/diffmorpher-unleashing-the-capability-of","title":"DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing","date":"2023-12-12","arxiv_id":"2312.07409","repositories_listed":1,"syntology":null},{"url":"/paper/impus-image-morphing-with-perceptually","title":"IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models","date":"2023-11-12","arxiv_id":"2311.06792","repositories_listed":1,"syntology":null},{"url":"/paper/exploring-the-design-space-of-diffusion","title":"Fast-DiM: Towards Fast Diffusion Morphs","date":"2023-10-14","arxiv_id":"2310.09484","repositories_listed":1,"syntology":null},{"url":"/paper/measure-transfer-via-stochastic-slicing-and","title":"Measure transfer via stochastic slicing and matching","date":"2023-07-11","arxiv_id":"2307.05705","repositories_listed":1,"syntology":null},{"url":"/paper/styledomain-analysis-of-stylespace-for-domain","title":"StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation","date":"2022-12-20","arxiv_id":"2212.10229","repositories_listed":1,"syntology":null},{"url":"/paper/multiview-regenerative-morphing-with-dual","title":"Multiview Regenerative Morphing with Dual Flows","date":"2022-08-02","arxiv_id":"2208.01287","repositories_listed":1,"syntology":null},{"url":"/paper/are-gan-based-morphs-threatening-face","title":"Are GAN-based Morphs Threatening Face Recognition?","date":"2022-05-05","arxiv_id":"2205.02496","repositories_listed":1,"syntology":null},{"url":"/paper/augstatic-a-light-weight-image-augmentation","title":"AugStatic - A Light-Weight Image Augmentation Library","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/augmented-balanced-image-dataset-generator","title":"Augmented Balanced Image Dataset Generator Using AugStatic Library","date":"2022-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/beyond-a-video-frame-interpolator-a-space","title":"Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition","date":"2022-03-18","arxiv_id":"2203.09771","repositories_listed":1,"syntology":null},{"url":"/paper/stylealign-analysis-and-applications-of-1","title":"StyleAlign: Analysis and Applications of Aligned StyleGAN Models","date":"2021-10-21","arxiv_id":"2110.11323","repositories_listed":1,"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":0}},{"url":"/paper/vulnerability-analysis-of-face-morphing","title":"Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks","date":"2020-12-09","arxiv_id":"2012.05344","repositories_listed":1,"syntology":null},{"url":"/paper/neural-crossbreed-neural-based-image","title":"Neural Crossbreed: Neural Based Image Metamorphosis","date":"2020-09-02","arxiv_id":"2009.00905","repositories_listed":1,"syntology":null},{"url":"/paper/image-morphing-with-perceptual-constraints","title":"Image Morphing with Perceptual Constraints and STN Alignment","date":"2020-04-29","arxiv_id":"2004.14071","repositories_listed":1,"syntology":null},{"url":"/paper/exploiting-deep-generative-prior-for","title":"Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation","date":"2020-03-30","arxiv_id":"2003.13659","repositories_listed":1,"syntology":{"n":18,"n_ran":7,"n_unverified":11,"n_pointer_only":0}},{"url":"/paper/barycenters-of-natural-images-constrained","title":"Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing","date":"2019-12-24","arxiv_id":"1912.11545","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}}],"syntology_records":7,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}