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Junyao Hu (胡钧耀)
理想不大,路还很远。

最后更新于:2026年03月18日 19:00
Last updated on: 2025-03-18 19:00

Welcome

👋 Hi! My name is Junyao Hu (胡钧耀).

🔍 My research interests include deep learning and computer vision, particularly focusing on intelligent creative applications (art, design, fashion, emotion, film, etc).

🥰 Please feel free to make any suggestions. Any questions and inquiries about my work and study life are welcome. You can contact with me in following ways.

  • GitHub (JunyaoHu)
  • Email (Gmail: hujunyao0329)
  • WeChat (ID: LittleDream_hjy, and you can see the QR code when floating on the WeChat icon)

📃 More details:

News

2026-02-23 😋 Accepted A paper was accepted to CVPR 2026.

2025-06-06 💼 Activity I attended VALSE 2025 (Zhuhai, China).

2025-04-19 💼 Activity I attended First AMC AI Film Festival (Hongkong, China).

2025-03-08 😋 Accepted A film was selected as Finalist at First AMC AI Film Festival, you can see it from here.

2024-05-05 💼 Activity I attended VALSE 2024 (Chongqing, China).

2024-02-27 😋 Accepted A paper was accepted to CVPR 2024, and I was honored as one of Outstanding Reviewers (top 2%).

2023-07-15 ✒️ Study I ended my undergraduate life at China University of Mining and Technology (CUMT), thanks to all teachers and friends around me, especially my parents.

2023-06-10 💼 Activity I attended VALSE 2023 (Wuxi, China).

Selected Publications

If you want to view my all publications, click here.

Note: # = Equal Contribution , * = Corresponding Author.

CVPR26 Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
Junyao Hu#, Zhongwei Cheng, Waikeung Wong, Xingxing Zou*

TL;DR: Garments2Look, the first outfit-level VTON dataset with 80K pairs, 40 categories, rich annotations, tests SOTA models and reveals their limitations in layering/styling.

📃 Paper 📃 中译版 📦 Code ⚒️ Project

Academic Service

Projects

Reviewer

Invited Talk

Teaching Assistant

  • Discrete Mathematics 2021: Strengthened students’ grasp of concepts through targeted review sessions enriched with example problems.

Community Contributor

  • Reduct: Served as media partner, proposed a part of the product feature requirements. Tested the app and provided feedback.
  • Vision AIGC: Crafted articles on the development of visual AIGC and shared experiences in computer vision learning.
  • SmartFlow: Authored articles for the account, delivering comprehensive analyses and interpretations of CVPR Best Paper.
  • Datawhale: Served as promotion ambassador, promoted team learning activities and competitions to new learners.