collaborators

5 papers

cs.SD2026

PhysicsSliders: Learning Physical Controls for Audio Foley Generation

Peiwei Chang, Yongqiang Chen, Yuelan Cheng +6

Physical properties provide intuitive controls for sounds made by interacting objects. The challenge is to make a generative model respond predictably to these controls, both indiv…

cs.SD2026

RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers

Liting Gao, Yonggang Zhu, Yaru Chen +5

Audio editing aims to modify specific content in an existing audio clip according to a text instruction or description while preserving the remaining acoustic content. Despite the…

cs.SD2026

COMET: Concept Space Dissection of the Modality Gap in Audio-Text Multimodal Contrastive Embeddings

Yonggang Zhu, Liting Gao, Aidong Men +1

Contrastive Language-Audio Pretraining (CLAP) models are widely used for audio understanding and support modality-agnostic condition swapping in many zero-shot applications. Howeve…

cs.CV2025

Teacher-Guided Pseudo Supervision and Cross-Modal Alignment for Audio-Visual Video Parsing

Yaru Chen, Ruohao Guo, Liting Gao +4

Weakly-supervised audio-visual video parsing (AVVP) seeks to detect audible, visible, and audio-visual events without temporal annotations. Previous work has emphasized refining gl…

cs.SD2025

RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing

Liting Gao, Yi Yuan, Yaru Chen +5

Diffusion models have shown remarkable progress in text-to-audio generation. However, text-guided audio editing remains in its early stages. This task focuses on modifying the targ…