Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
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Abstract (arXiv)
Inspired by the impressive performance of recent face image editing methods, several studies have been naturally proposed to extend these methods to the face video editing task. One of the main challenges here is temporal consistency among edited frames, which is still unresolved. To this end, we propose a novel face video editing framework based on diffusion autoencoders that can successfully extract the decomposed features - for the first time as a face video editing model - of identity and motion from a given video. This modeling allows us to edit the video by simply manipulating the temporally invariant feature to the desired direction for the consistency. Another unique strength of our model is that, since our model is based on diffusion models, it can satisfy both reconstruction and edit capabilities at the same time, and is robust to corner cases in wild face videos (e.g. occluded faces) unlike the existing GAN-based methods.
Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). Builds on 37 of its 45 references that are in the map. First posted on arXiv 6 Dec 2022.
Builds on
37 of 45 references.
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Citing papers per year: 2022: 1; 2023: 8; 2024: 12; 2025: 12; 2026: 6.
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- 2025Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning29 Aug 2025
- 2025DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization18 Jul 2025
- 2025ReactDiff: Latent Diffusion for Facial Reaction Generation20 May 2025
- 2025Automated Learning of Semantic Embedding Representations for Diffusion Models9 May 2025
- 2024ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance23 Nov 2024
- 2024High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model10 Aug 2024
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- 2024FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models8 May 2024
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- 2026Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection14 Apr 2026
- 2026Exploring Talking Head Models With Adjacent Frame Prior for Speech-Preserving Facial Expression Manipulation19 Jan 2026
- 2025DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces23 Sep 2025
- 2025Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer4 Sep 2025
- 2025FaceEditTalker: Controllable Talking Head Generation with Facial Attribute Editing28 May 2025
- 2025Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality30 Apr 2025
- 2025Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations28 Mar 2025
- 2025Motion Diffusion Autoencoders: Enabling Attribute Manipulation in Human Motion Demonstrated on Karate Techniques30 Jan 2025
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