Durian introduces a dual-reference diffusion model trained via self-reconstruction on video frames to enable cross-identity attribute transfer in portrait animations, supporting multi-attribute composition and interpolation.
Stableani- mator: High-quality identity-preserving human image animation.arXiv preprint arXiv:2411.17697
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DirectAnimator bypasses pose extraction using a Driving Cue Triplet and Same2X training strategy to achieve state-of-the-art human animation quality and robustness from raw videos.
A training-free framework for human image animation that uses preview-guided denoising plus Inversion-Boosted and Reference-Anchored Self-Attention modules to achieve temporal consistency and identity preservation in diffusion models.
A holistic survey of affective computing for intelligent agents covering emotion understanding via multimodal data, affective cognition, emotional expression synthesis, key challenges, and future directions emphasizing generative technologies.
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