Browse State-of-the-Art › motion retargeting
motion retargeting
19 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
19 shown of 19 papers with code (49 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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25 Sep 2019 3 repositories listedThe motion retargeting learning is performed using refined data in a latent space by the cyclic and filtering paths of our method.
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5 May 2019 2 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedIn order to achieve our goal, we learn to extract, directly from a video, a high-level latent motion representation, which is invariant to the skeleton geometry and the camera view.
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19 Dec 2024 1 repository listedHumanoid robots are envisioned as embodied intelligent agents capable of performing a wide range of human-level loco-manipulation tasks, particularly in scenarios requiring strenuous and repetitive labor.
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28 Oct 2024 1 repository listed Syntology ran 1 of 13 samples · 12 unverifiedSubsequently, we develop a novel spatio-temporal representation called the dense mesh interaction (DMI) field.
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7 Jun 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedThe creation of 4D avatars (i.
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11 Aug 2023 1 repository listedCreating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse.
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11 Aug 2023 1 repository listedHuman hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios.
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13 Jun 2023 1 repository listedMoreover, we also show that our framework can generate reasonable results even for a more challenging retargeting scenario, like retargeting between bipedal and quadrupedal skeletons because of the body part retargeting…
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15 Mar 2023 1 repository listed Syntology ran 0 of 14 samples · 14 unverifiedDriven by our explored distance-based losses that explicitly model the motion semantics and geometry, these two modules can learn residual motion modifications on the source motion to generate plausible retargeted…
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1 Jan 2023 1 repository listedAnimating a virtual character based on a real performance of an actor is a challenging task that currently requires expensive motion capture setups and additional effort by expert animators, rendering it accessible only…
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2 Oct 2022 1 repository listedThe novel design of dual branches combines the strengths of deformation-grid-based transformation and warp-free generation for better identity preservation and robustness to occlusion in the synthesized videos.
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31 Aug 2022 1 repository listedCurrent self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings.
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11 Jul 2022 1 repository listed Syntology ran 2 of 12 samples · 10 unverifiedWe will first convert the large-scale human-object interaction trajectories to robot demonstrations via motion retargeting, and then use these demonstrations to train CGF.
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12 Aug 2021 1 repository listed Syntology ran 0 of 12 samples · 12 unverifiedWhile significant progress has been made on understanding hand-object interactions in computer vision, it is still very challenging for robots to perform complex dexterous manipulation.
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19 Jul 2021 1 repository listedWhile substantial progress has been made in automated stylization, generating high quality stylistic portraits is still a challenge, and even the recent popular Toonify suffers from several artifacts when used on real…
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17 Jun 2021 1 repository listedTo alleviate this problem, we introduce JOKR - a JOint Keypoint Representation that captures the motion common to both the source and target videos, without requiring any object prior or data collection.
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6 May 2021 1 repository listedFurthermore, we propose neural blend shapes--a set of corrective pose-dependent shapes which improve the deformation quality in the joint regions in order to address the notorious artifacts resulting from standard…
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12 May 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverifiedIn other words, our operators form the building blocks of a new deep motion processing framework that embeds the motion into a common latent space, shared by a collection of homeomorphic skeletons.
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3 Oct 2018 1 repository listed Syntology ran 1 of 2 samples · 1 unverifiedIn this work, we capture the hand information by using a state-of-the-art hand pose estimator.
Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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