AnyBald: Toward Realistic Diffusion-Based Hair Removal In-the-Wild

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Yongjun Choi*, Seungoh Han*, Soomin Kim, Sumin Son, Mohsen Rohani, Edgar Maucourant, Dongbo Min, Kyungdon Joo

• Developed AnyBald, a mask-free diffusion-based framework for realistic hair removal in the wild.
• Achieves natural bald manipulation while preserving facial identity, enabling robust performance across diverse real-world scenarios.

RAC-VAD: Reference-Guided Temporal Alignment and Pairwise Comparison for Video Anomaly Detection in Display Inspection
Yongjun Choi, Gyeongsu Cho, Jinhyeok Kim, Changsu Ha, Sanggyu Biern, Kyungdon Joo

• Video-based anomaly detection system for industrial display device inspection, capable of identifying defects during long-term multi-device operation.
• Introduce two-stage based video alignment and comparison approach for robust, noise-resistant anomaly detection.

Demonstrating a Vision-Based AI Robot for Strategic Board Games

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Taehwan Kim*, Dokeun Lee*, Seonghyeon Kim*, Yongjun Choi*, Sungjun Heo, Thi Thuy Ngan Duong, Kyungdon Joo, Namhun Kim, Jeong hwan Jeon, Hyemin Ahn

• Developed a low-cost human–robot interaction system for playing Gomoku, integrating real-time vision perception, RL-based decision-making, and robotic arm control.
• Offers an affordable, real-world gaming experience that merges physical gameplay with intelligent decision-making.