{"url":"/task/morph","name":"MORPH","slug":"morph","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":206,"papers_with_code":36,"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":1,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/universal-dependencies","name":"Universal Dependencies","full_name":"","num_papers_in_archive":520}],"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":30,"of":36,"tagged_in_all":206,"items":[{"url":"/paper/computational-optimal-transport","title":"Computational Optimal Transport","date":"2018-03-01","arxiv_id":"1803.00567","repositories_listed":5,"syntology":null},{"url":"/paper/a-lip-sync-expert-is-all-you-need-for-speech","title":"A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild","date":"2020-08-23","arxiv_id":"2008.10010","repositories_listed":4,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":2}},{"url":"/paper/morph-ler-log-euclidean-regularization-for","title":"MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration","date":"2025-02-04","arxiv_id":"2502.02029","repositories_listed":1,"syntology":null},{"url":"/paper/ldm-morph-latent-diffusion-model-guided","title":"LDM-Morph: Latent diffusion model guided deformable image registration","date":"2024-11-23","arxiv_id":"2411.15426","repositories_listed":1,"syntology":null},{"url":"/paper/nca-morph-medical-image-registration-with","title":"NCA-Morph: Medical Image Registration with Neural Cellular Automata","date":"2024-10-29","arxiv_id":"2410.22265","repositories_listed":1,"syntology":null},{"url":"/paper/ladimo-face-morph-generation-through","title":"LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion","date":"2024-10-10","arxiv_id":"2410.07988","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-feasibility-of-creating-iris","title":"On the Feasibility of Creating Iris Periocular Morphed Images","date":"2024-08-24","arxiv_id":"2408.13496","repositories_listed":1,"syntology":null},{"url":"/paper/large-language-models-for-multimodal","title":"Large Language Models for Multimodal Deformable Image Registration","date":"2024-08-20","arxiv_id":"2408.10703","repositories_listed":1,"syntology":null},{"url":"/paper/competevo-towards-morphological-evolution","title":"CompetEvo: Towards Morphological Evolution from Competition","date":"2024-05-28","arxiv_id":"2405.18300","repositories_listed":1,"syntology":null},{"url":"/paper/auto-encoding-morph-tokens-for-multimodal-llm","title":"Auto-Encoding Morph-Tokens for Multimodal LLM","date":"2024-05-03","arxiv_id":"2405.01926","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/an-rml-fnml-module-for-python-user-defined","title":"An RML-FNML module for Python user-defined functions in Morph-KGC","date":"2024-04-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/declarative-generation-of-rdf-star-graphs","title":"Declarative generation of RDF-star graphs from heterogeneous data","date":"2024-03-20","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/ivim-morph-motion-compensated-quantitative","title":"IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data","date":"2024-01-13","arxiv_id":"2401.07126","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/rfd-ecnet-extreme-underwater-image","title":"RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar","date":"2023-08-17","arxiv_id":"2308.08721","repositories_listed":1,"syntology":null},{"url":"/paper/unveiling-the-two-faced-truth-disentangling","title":"Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection","date":"2023-06-05","arxiv_id":"2306.03002","repositories_listed":1,"syntology":null},{"url":"/paper/anchorformer-point-cloud-completion-from","title":"AnchorFormer: Point Cloud Completion From Discriminative Nodes","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/rfd-ecnet-extreme-underwater-image-1","title":"RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/qdwi-morph-motion-compensated-quantitative","title":"qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment","date":"2022-08-21","arxiv_id":"2208.09836","repositories_listed":1,"syntology":null},{"url":"/paper/metaage-meta-learning-personalized-age","title":"MetaAge: Meta-Learning Personalized Age Estimators","date":"2022-07-12","arxiv_id":"2207.05288","repositories_listed":1,"syntology":null},{"url":"/paper/generating-long-videos-of-dynamic-scenes","title":"Generating Long Videos of Dynamic Scenes","date":"2022-06-07","arxiv_id":"2206.03429","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/calibrated-predictive-distributions-via","title":"Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)","date":"2022-05-29","arxiv_id":"2205.14568","repositories_listed":1,"syntology":{"n":13,"n_ran":0,"n_unverified":13,"n_pointer_only":0}},{"url":"/paper/evidence-for-hypodescent-in-visual-semantic","title":"Evidence for Hypodescent in Visual Semantic AI","date":"2022-05-22","arxiv_id":"2205.10764","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/3d-face-morphing-attacks-generation","title":"3D Face Morphing Attacks: Generation, Vulnerability and Detection","date":"2022-01-10","arxiv_id":"2201.03454","repositories_listed":1,"syntology":null},{"url":"/paper/i-m-avatar-implicit-morphable-head-avatars","title":"I M Avatar: Implicit Morphable Head Avatars from Videos","date":"2021-12-14","arxiv_id":"2112.07471","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/learn-morph-infer-a-new-way-of-solving-the","title":"Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling","date":"2021-11-07","arxiv_id":"2111.04090","repositories_listed":1,"syntology":null},{"url":"/paper/evadedroid-a-practical-evasion-attack-on","title":"EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection","date":"2021-10-07","arxiv_id":"2110.03301","repositories_listed":1,"syntology":null},{"url":"/paper/morph-call-probing-morphosyntactic-content-of","title":"Morph Call: Probing Morphosyntactic Content of Multilingual Transformers","date":"2021-04-26","arxiv_id":"2104.12847","repositories_listed":1,"syntology":null},{"url":"/paper/lrgnet-learnable-region-growing-for-class","title":"LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation","date":"2021-03-16","arxiv_id":"2103.09160","repositories_listed":1,"syntology":null},{"url":"/paper/dlbcl-morph-morphological-features-computed","title":"DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set","date":"2020-09-17","arxiv_id":"2009.08123","repositories_listed":1,"syntology":null}],"syntology_records":6,"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"}}