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Haiwei Xue

6 accepted papers

2026

SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension

AAAI 2026technical

Satire, a form of artistic expression combining humor with implicit critique, holds significant social value by illuminating societal issues. Despite its cultural and societal significance, satire comprehension, particularly in purely visual forms, remains a challenging task for current vision-langu

Cited by 0SourcePDFScholar
2025

Identity-Preserving Audio-Driven Holistic Human Motion Video Generation

ICASSP 2025accepted

Generating realistic human motion videos is a pivotal challenge in advancing human-computer interaction. While existing approaches often focus on generating either head or gesture movements from audio, they lack unified control over full-body motion, frequently producing low-resolution and blurred o…

Cited by 0SourceScholar
2025

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters

AAAI 2025technical

Pose-controlled human video generation is of significant interest and finds extensive applications in areas such as automated advertising and content creation on social media platforms. While existing methods employing pose sequences and reference images for human image animation have exhibited nota…

Cited by 0SourcePDFScholar
2025

VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening

IJCAI 2025

We propose VideoHumanMIB, a novel framework for Video Human Motion In-betweening that enables seamless transitions between different motion video clips, facilitating the generation of longer and more natural digital human videos. While existing video frame interpolation methods work well for similar

Cited by 0SourcePDFScholar
2024

Conversational Co-Speech Gesture Generation via Modeling Dialog Intention, Emotion, and Context with Diffusion Models

ICASSP 2024accepted

Audio-driven co-speech human gesture generation has made remarkable advancements recently. However, most previous works only focus on single person audio-driven gesture generation. We aim at solving the problem of conversational co-speech gesture generation that considers multiple participants in a…

Cited by 0SourceScholar
2024

FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness

ICASSP 2024accepted

Current talking avatars mostly generate co-speech gestures based on audio and text of the utterance, without considering the non-speaking motion of the speaker. Furthermore, previous works on co-speech gesture generation have designed network structures based on individual gesture datasets, which re…

Cited by 0SourceScholar