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Youqing Fang

4 accepted papers

2026

MF-Speech: Achieving Fine-Grained and Compositional Control in Speech Generation via Factor Disentanglement

AAAI 2026technical

Generating expressive and controllable human speech is one of the core goals of generative artificial intelligence, but its progress has long been constrained by two fundamental challenges: the deep entanglement of speech factors and the coarse granularity of existing control mechanisms. To overcome

Cited by 0SourcePDFScholar
2026

MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing

IJCAI 2026

Recent writing assistants are increasingly shifting from passive, prompt-driven interaction to proactive, suggestion-based completion, which integrates localized continuations into the writing flow and reduces coordination burden. However, existing evaluations simply focus on output quality, failing

Cited by 0Scholar
2024

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

NeurIPS 2024poster

Human image animation involves generating videos from a character photo, allowing user control and unlocking the potential for video and movie production. While recent approaches yield impressive results using high-quality training data, the inaccessibility of these datasets hampers fair and transpa…

2024

PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models

CVPR 2024poster

Recent advancements in personalized text-to-image (T2I) models have revolutionized content creation empowering non-experts to generate stunning images with unique styles. While promising animating these personalized images with realistic motions poses significant challenges in preserving distinct st…