Browse State-of-the-Art › Portrait Animation
Portrait Animation
13 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The person is looking directly at the camera to express his feelings, showcasing his emotions and sense of humor while speaking.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
13 shown of 13 papers with code (32 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.
-
27 Aug 2024 2 repositories listedTo address this issue, we introduce MegActor-Σ: a mixed-modal conditional diffusion transformer (DiT), which can flexibly inject audio and visual modality control signals into portrait animation.
-
31 May 2024 2 repositories listed Syntology ran 9 of 17 samples · 8 unverifiedDespite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom the subject of research.
-
26 Mar 2024 2 repositories listed Syntology ran 6 of 11 samples · 5 unverifiedIn this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image.
-
29 May 2025 1 repository listedGenerating highly dynamic and photorealistic portrait animations driven by audio and skeletal motion remains challenging due to the need for precise lip synchronization, natural facial expressions, and high-fidelity…
-
27 Feb 2025 1 repository listed Syntology ran 1 of 7 samples · 6 unverifiedWe address this limitation by distinguishing these feature types through dedicated subspaces within the feature space of a pre-trained image-to-video diffusion model.
-
15 Feb 2025 1 repository listedWe present SkyReels-A1, a simple yet effective framework built upon video diffusion Transformer to facilitate portrait image animation.
-
12 Dec 2024 1 repository listedAudio-driven talking head generation necessitates seamless integration of audio and visual data amidst the challenges posed by diverse input portraits and intricate correlations between audio and facial motions.
-
12 Dec 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedSince we did not change the overall training framework of SyncNet, our experience can also be applied to other lip sync and audio-driven portrait animation methods that utilize SyncNet.
-
1 Dec 2024 1 repository listed Syntology ran 6 of 23 samples · 17 unverifiedExisting methodologies for animating portrait images face significant challenges, particularly in handling non-frontal perspectives, rendering dynamic objects around the portrait, and generating immersive, realistic…
-
14 Nov 2024 1 repository listedSpecifically, in the first stage, we introduce a decoupled facial representation framework that separates dynamic facial expressions from static 3D facial representations.
-
11 Sep 2024 1 repository listedIn response to this challenge, we propose EMOdiffhead, a novel method for emotional talking head video generation that not only enables fine-grained control of emotion categories and intensities but also enables…
-
3 Jul 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)Instead of following mainstream diffusion-based methods, we explore and extend the potential of the implicit-keypoint-based framework, which effectively balances computational efficiency and controllability.
-
26 Jul 2017 1 repository listedFinally, an automatic portrait animation system based on fast deep matting is built on mobile devices, which does not need any interaction and can realize real-time matting with 15 fps.
Syntology lines on 6 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections