Pin-Yen Chiu

Research Assistant @ Academia Sinica
Controllable Visual Generation

alternative

I am a research assistant at the Research Center for Information Technology Innovation (CITI), Academia Sinica, advised by Jun-Cheng Chen. My research primarily focuses on computer vision, generative models, and deep learning, recently emphasizing on achieving precise and continuous control in image and video synthesis. I earned my bachelor's degree in Computer Science and Engineering from National Sun Yat-sen University, where I began my research journey under the guidance of Professor Chun-I Fan.

  CV   Google Scholar   Github   LinkedIn
  1. Academia Sinica
    Research Assistant
    Present - 2023

  2. National Sun Yat-sen University B.S.
    2023 - 2019

Publications

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters

Pin-Yen Chiu, I-Sheng Fang, Jun-Cheng Chen

WACV 2026 & CVPR 2025 Workshop on Visual Concept

  Project page   Paper   Code

Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking

Yu-Feng Chen, Tzuhsuan Huang, Pin-Yen Chiu, Jun-Cheng Chen

AVSS 2025

  Paper

StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer

Pin-Yen Chiu*, Dai-Jie Wu*, Po-Hsun Chu, Chia-Hsuan Hsu, Hsiang-Chen Chiu, Chih-Yu Wang, Jun-Cheng Chen

arXiv 2024

  Paper

Towards Validating Face Editing Ability in Generative Models

Dai-Jie Wu*, Pin-Yen Chiu*, Chih-Yu Wang, Jun-Cheng Chen

VCIP 2024 (Oral)

  Paper