京都大学 像情報学研究室
京都大学 像情報学研究室
トップ
研究理念
メンバー
研究プロジェクト
研究業績
日本語
日本語
English
Akinobu Maejima
最新
AniDepth : Anime In-between Diffusion using Depth-guided Warped Line-art
Continual few-shot patch-based learning for anime-style colorization
Improved Automatic Colorization by Optimal Pre-colorization
Updating Human Pose Estimation using Event-based Camera to Improve Its Accuracy
Anime-style Patch-based Colorization with Pre-training using Procedural Patch Generation
Semi-Automatic Colorization Pipeline for Anime Characters and its Evaluation in Production
Anime Character Colorization using Few-shot Learning
Confidence-aware Practical Anime-style Colorization
Graph matching based anime colorization with multiple references
Pre- and post-processes for automatic colorization using a fully convolutional network
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