Accès ouvert déclaré 2026 preprint

The First Controllable Bokeh Rendering Challenge at NTIRE 2026

Tim Seizinger, Florin-Alexandru Vasluianu, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, Dafeng Zhang, Yipeng Lin, Qi Yan, Junhao Chen, Yang Yang, Divyavardhan Singh, Hariom Thacker, Hammad Mohammad, Aanchal Maurya, Kishor Upla, Kiran Raja, Wei Zhou, Hongyu Huang, Yujin Cho, Grigory Malivenko, Jiachen Tu, Yaokun Shi, Guoyi Xu, Yaoxin Jiang, Jiajia Liu

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Résumé fourni par la source

This study presents the outcomes of the first Controllable Bokeh Rendering Challenge at NTIRE and highlights the most effective submitted methodologies. In total, 44 participants registered for the competition, of which 8 teams submitted valid solutions after the conclusion of the final test phase. All submissions were evaluated on unseen images, focusing on portraits and intricate subjects with complex and visually appealing bokeh phenomena. In addition to the first track focusing on established quantitative fidelity metrics, we conducted a qualitative user study with a panel of experts for a second track focusing on perceptual assessment. As this was the inaugural challenge on this topic, most of the participants focused on refining and extending the Bokehlicious baseline method.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

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Sujets associés

Generative Adversarial Networks and Image SynthesisFace Recognition and PerceptionFace recognition and analysis

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