{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/video-generation/papers/15","list_of":"/task/video-generation","task":"Video Generation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":15,"pages_in_order":15,"rows_per_page":100,"rows":[1401,1466],"of":1466,"counts":{"archive_papers_tagged":1466,"with_a_code_link":609,"where_syntology_ran_a_sample":257,"not_listed_spam_title":0,"listed":1466,"listed_where_code_ran":257,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":221,"every_run_a_failure_of_syntologys_instrument":36,"listed_with_a_run_with_no_instrument_failure":221,"listed_every_run_a_failure_of_syntologys_instrument":36,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/video-generation","prev":"/task/video-generation/papers/14","next":null,"papers":[{"url":null,"slug":"rockgpt-reconstructing-three-dimensional","title":"RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation","date":"2021-08-05","arxiv_id":"2108.03132","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-generation-from-text-employing-latent","title":"Video Generation from Text Employing Latent Path Construction for Temporal Modeling","date":"2021-07-29","arxiv_id":"2107.13766","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-video-transformer-can-objects-be","title":"Generative Video Transformer: Can Objects be the Words?","date":"2021-07-20","arxiv_id":"2107.09240","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech2video-cross-modal-distillation-for","title":"Speech2Video: Cross-Modal Distillation for Speech to Video Generation","date":"2021-07-10","arxiv_id":"2107.04806","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-view-exocentric-to-egocentric-video","title":"Cross-View Exocentric to Egocentric Video Synthesis","date":"2021-07-07","arxiv_id":"2107.03120","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-video-prediction-using","title":"Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions","date":"2021-06-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-training-for-future-video","title":"Efficient training for future video generation based on hierarchical disentangled representation of latent variables","date":"2021-06-07","arxiv_id":"2106.03502","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-video-generation-for-complex","title":"Hierarchical Video Generation for Complex Data","date":"2021-06-04","arxiv_id":"2106.02719","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-to-video-generation-via-3d-facial","title":"Image-to-Video Generation via 3D Facial Dynamics","date":"2021-05-31","arxiv_id":"2105.14678","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-long-term-style-preserving-blind","title":"Learning Long-Term Style-Preserving Blind Video Temporal Consistency","date":"2021-03-12","arxiv_id":"2103.07278","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-mtgan-stochastic-and-deterministic","title":"Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis","date":"2021-02-26","arxiv_id":"2102.13329","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-shot-audio-to-animated-video-generation","title":"One Shot Audio to Animated Video Generation","date":"2021-02-19","arxiv_id":"2102.09737","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangled-recurrent-wasserstein-1","title":"Disentangled Recurrent Wasserstein Autoencoder","date":"2021-01-19","arxiv_id":"2101.07496","repositories_listed":0,"syntology":null},{"url":null,"slug":"arrowgan-learning-to-generate-videos-by","title":"ArrowGAN : Learning to Generate Videos by Learning Arrow of Time","date":"2021-01-11","arxiv_id":"2101.03710","repositories_listed":0,"syntology":null},{"url":null,"slug":"inmodegan-interpretable-motion-decomposition","title":"InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation","date":"2021-01-08","arxiv_id":"2101.03049","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-video-textures","title":"Contrastive Video Textures","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-generate-videos-using-neural","title":"Learning to Generate Videos Using Neural Uncertainty Priors","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"videogen-generative-modeling-of-videos-using","title":"VideoGen: Generative Modeling of Videos using VQ-VAE and Transformers","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"can-everybody-sign-now-exploring-sign","title":"Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses","date":"2020-12-20","arxiv_id":"2012.10941","repositories_listed":0,"syntology":null},{"url":null,"slug":"glocalnet-class-aware-long-term-human-motion","title":"GlocalNet: Class-aware Long-term Human Motion Synthesis","date":"2020-12-19","arxiv_id":"2012.10744","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-adaptive-normalization-for-audio","title":"Multi Modal Adaptive Normalization for Audio to Video Generation","date":"2020-12-14","arxiv_id":"2012.07304","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-one-shot-audio-to-video-generation","title":"Robust One Shot Audio to Video Generation","date":"2020-12-14","arxiv_id":"2012.07842","repositories_listed":0,"syntology":null},{"url":null,"slug":"action-concept-grounding-network-for-1","title":"Modular Action Concept Grounding in Semantic Video Prediction","date":"2020-11-23","arxiv_id":"2011.11201","repositories_listed":0,"syntology":null},{"url":null,"slug":"everybody-sign-now-translating-spoken","title":"Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video","date":"2020-11-19","arxiv_id":"2011.09846","repositories_listed":0,"syntology":null},{"url":null,"slug":"lets-play-music-audio-driven-performance","title":"Lets Play Music: Audio-driven Performance Video Generation","date":"2020-11-05","arxiv_id":"2011.02631","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg-to-fmri-synthesis-is-deep-learning-a","title":"EEG to fMRI Synthesis: Is Deep Learning a candidate?","date":"2020-09-29","arxiv_id":"2009.14133","repositories_listed":0,"syntology":null},{"url":null,"slug":"action-concept-grounding-network-for","title":"Action Concept Grounding Network for Semantically-Consistent Video Generation","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tivgan-text-to-image-to-video-generation-with","title":"TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator","date":"2020-09-04","arxiv_id":"2009.02018","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-guided-high-resolution-appearance","title":"Pose-Guided High-Resolution Appearance Transfer via Progressive Training","date":"2020-08-27","arxiv_id":"2008.11898","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-do-the-hearts-of-deep-fakes-beat-deep","title":"How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals","date":"2020-08-26","arxiv_id":"2008.11363","repositories_listed":0,"syntology":null},{"url":null,"slug":"hrvgan-high-resolution-video-generation-using-1","title":"HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN","date":"2020-08-17","arxiv_id":"2008.09646","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-deconvolutional-generative","title":"Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation","date":"2020-08-13","arxiv_id":"2008.05856","repositories_listed":0,"syntology":null},{"url":null,"slug":"lyric-video-analysis-using-text-detection-and","title":"Lyric Video Analysis Using Text Detection and Tracking","date":"2020-06-21","arxiv_id":"2006.11933","repositories_listed":0,"syntology":null},{"url":null,"slug":"deeprhythm-exposing-deepfakes-with","title":"DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms","date":"2020-06-13","arxiv_id":"2006.07634","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-training-for-domain-adaptive-scene-text","title":"Self-Training for Domain Adaptive Scene Text Detection","date":"2020-05-23","arxiv_id":"2005.11487","repositories_listed":0,"syntology":null},{"url":"/paper/transformation-based-adversarial-video","slug":"transformation-based-adversarial-video","title":"Transformation-based Adversarial Video Prediction on Large-Scale Data","date":"2020-03-09","arxiv_id":"2003.04035","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-deblur-and-generate-high-frame","title":"Learning to Deblur and Generate High Frame Rate Video with an Event Camera","date":"2020-03-02","arxiv_id":"2003.00847","repositories_listed":0,"syntology":null},{"url":null,"slug":"text2sign-towards-sign-language-production","title":"Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks","date":"2020-01-02","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"jointly-trained-image-and-video-generation","title":"Jointly Trained Image and Video Generation using Residual Vectors","date":"2019-12-17","arxiv_id":"1912.07991","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-generation-of-human-object","title":"Generating Videos of Zero-Shot Compositions of Actions and Objects","date":"2019-12-05","arxiv_id":"1912.02401","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-video-generation-for-robust-hand","title":"Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications","date":"2019-11-04","arxiv_id":"1911.01320","repositories_listed":0,"syntology":null},{"url":null,"slug":"label-conditioned-next-frame-video-generation","title":"Label-Conditioned Next-Frame Video Generation with Neural Flows","date":"2019-10-16","arxiv_id":"1910.11106","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-human-action-videos-by-coupling-3d","title":"Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models","date":"2019-10-12","arxiv_id":"1910.06699","repositories_listed":0,"syntology":null},{"url":"/paper/markov-decision-process-for-video-generation","slug":"markov-decision-process-for-video-generation","title":"Markov Decision Process for Video Generation","date":"2019-09-26","arxiv_id":"1909.12400","repositories_listed":0,"syntology":null},{"url":null,"slug":"goal-conditioned-video-prediction","title":"Goal-Conditioned Video Prediction","date":"2019-09-25","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-persuasive-visual-storylines-for","title":"Generating Persuasive Visual Storylines for Promotional Videos","date":"2019-08-30","arxiv_id":"1908.11588","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-frame-content-integration-with-a-spatio","title":"Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer","date":"2019-08-12","arxiv_id":"1908.04013","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-video-generation-from-a-single-image-and","title":"Face Video Generation from a Single Image and Landmarks","date":"2019-04-25","arxiv_id":"1904.11521","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-term-video-generation-of-multiple","title":"Long-Term Human Video Generation of Multiple Futures Using Poses","date":"2019-04-16","arxiv_id":"1904.07538","repositories_listed":0,"syntology":null},{"url":null,"slug":"fvd-a-new-metric-for-video-generation","title":"FVD: A new Metric for Video Generation","date":"2019-03-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-bi-directional-flow-based-video","title":"Unsupervised Bi-directional Flow-based Video Generation from one Snapshot","date":"2019-03-03","arxiv_id":"1903.00913","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-video-generation-using-action","title":"Conditional Video Generation Using Action-Appearance Captions","date":"2018-12-04","arxiv_id":"1812.01261","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-based-high-dynamic-range-image-and-very","title":"Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks","date":"2018-11-20","arxiv_id":"1811.08230","repositories_listed":0,"syntology":null},{"url":null,"slug":"full-body-high-resolution-anime-generation","title":"Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks","date":"2018-09-06","arxiv_id":"1809.01890","repositories_listed":0,"syntology":null},{"url":null,"slug":"controllable-image-to-video-translation-a","title":"Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation","date":"2018-08-09","arxiv_id":"1808.02992","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-guided-human-video-generation","title":"Pose Guided Human Video Generation","date":"2018-07-30","arxiv_id":"1807.11152","repositories_listed":0,"syntology":null},{"url":null,"slug":"controllable-video-generation-with-sparse","title":"Controllable Video Generation With Sparse Trajectories","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"diy-human-action-data-set-generation","title":"DIY Human Action Data Set Generation","date":"2018-03-29","arxiv_id":"1803.11264","repositories_listed":0,"syntology":null},{"url":null,"slug":"vos-gan-adversarial-learning-of-visual","title":"Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos","date":"2018-03-24","arxiv_id":"1803.09092","repositories_listed":0,"syntology":null},{"url":null,"slug":"every-smile-is-unique-landmark-guided-diverse","title":"Every Smile is Unique: Landmark-Guided Diverse Smile Generation","date":"2018-02-06","arxiv_id":"1802.01873","repositories_listed":0,"syntology":null},{"url":"/paper/deep-video-generation-prediction-and","slug":"deep-video-generation-prediction-and","title":"Deep Video Generation, Prediction and Completion of Human Action Sequences","date":"2017-11-23","arxiv_id":"1711.08682","repositories_listed":0,"syntology":null},{"url":"/paper/skeleton-aided-articulated-motion-generation","slug":"skeleton-aided-articulated-motion-generation","title":"Skeleton-aided Articulated Motion Generation","date":"2017-07-04","arxiv_id":"1707.01058","repositories_listed":0,"syntology":null},{"url":"/paper/parallel-multiscale-autoregressive-density","slug":"parallel-multiscale-autoregressive-density","title":"Parallel Multiscale Autoregressive Density Estimation","date":"2017-03-10","arxiv_id":"1703.03664","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-video-construction-from-rgb-video","title":"Spectral video construction from RGB video: Application to Image Guided Neurosurgery","date":"2016-12-14","arxiv_id":"1612.04809","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-rnn-gans-for-abstract-reasoning","title":"Contextual RNN-GANs for Abstract Reasoning Diagram Generation","date":"2016-09-29","arxiv_id":"1609.09444","repositories_listed":0,"syntology":null},{"url":"/paper/generating-videos-with-scene-dynamics","slug":"generating-videos-with-scene-dynamics","title":"Generating Videos with Scene Dynamics","date":"2016-09-08","arxiv_id":"1609.02612","repositories_listed":0,"syntology":null}],"record_sha256":"0e23e8855ccadea796407f41dbf08a8d0871247c67badd0769fd8ad1cb27a31c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}