works on

From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

cs.SD2026

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation

Junhao Chen, Mingjin Chen, Jingjia Mao +12

Text-to-music language models begin with a choice usually made by default: how to tokenize music. Normally entangled with backbone, data, and recipe, its effect has never been meas…

cs.CV2026

Test-Time Curriculum for Open-Set AIGC Detection

Yiqian Zhang, Zheyuan Gu, Xiangzhao Hao +8

AI-generated image detectors deployed in open-world environments inevitably face distribution shifts as new and stronger generative models continue to emerge. Although existing met…

cs.CV2026

Bunraku: Turning a Single Illustration into an Editable Live2D Character

Junhao Chen, Jingjia Mao, Dayong Li +6

The paper introduces Bunraku, a system that automatically creates a complete Live2D character—including layered RGBA images, deformation meshes, and animation keyposes—from a singl…

cs.CV2026

Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching

Guanbo Huang, Jingjia Mao, Fanding Huang +9

Flow Matching (FM) has achieved remarkable generative performance, yet it suffers from exposure bias due to discrepancies between training and inference. Existing mitigation strate…

cs.CV2026

ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching

Guanbo Huang, Jingjia Mao, Fanding Huang +8

Despite tremendous recent progress, Flow Matching methods still suffer from exposure bias due to discrepancies in training and inference. This paper investigates the root causes of…