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- InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models26
A pluggable interaction control model is proposed that extends existing pre-trained T2I diffusion models to enable them being better conditioned on interactions, and outperforms existing baselines by a large margin in HOI detection score, as well as fidelity in FID and KID.
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- Cascaded Dynamic Memory Refinement and Semantic Alignment for Exo-to-Ego Cross-View Video Generation6
- Unsupervised Hashing with Similarity Distribution Calibration2
A novel Similarity Distribution Calibration (SDC) method is introduced, which aligns the hash code similarity distribution towards a calibration distribution with sufficient spread across the entire similarity capacity/range, to alleviate the similarity collapse problem.
- Reference-free human-object interaction editing1
InteractEdit is presented, a novel framework for reference-free Human-Object Interaction (HOI) editing that tackles the challenging task of transforming an existing interaction in an image into a new, desired interaction while preserving the identities of the subject and object.
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- OneHOI: Unifying Human-Object Interaction Generation and Editing–
OneHOI is introduced, a unified diffusion transformer framework that consolidates HOI generation and editing into a single conditional denoising process driven by shared structured interaction representations, achieving state-of-the-art results across both HOI generation and editing.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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