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Yunlin Chen

2 accepted papers

2025

A Dual Stream Visual Tokenizer for LLM Image Generation

IJCAI 2025

We proposes a novel visual tokenizer by combining high-level semantic tokens and low-level pixel tokens to represent images, aiming to address the challenges of image-to-sequence conversion for Large Language Models (LLMs). Existing visual tokenizers, such as VQ-VAE and diffusion-based models, eithe

Cited by 0SourcePDFScholar
2024

Spontts: Modeling and Transferring Spontaneous Style for TTS

ICASSP 2024accepted

Spontaneous speaking style exhibits notable differences from other speaking styles due to various spontaneous phenomena (e.g., filled pauses, prolongation) and substantial prosody variation (e.g., diverse pitch and duration variation, occasional non-verbal speech like a smile), posing challenges to…

Cited by 0SourceScholar