The inaugural Controllable Bokeh Rendering Challenge at NTIRE 2026 received 8 valid submissions, mostly refinements of the Bokehlicious baseline, evaluated on unseen portrait images via fidelity metrics and expert perceptual assessment.
Imagenet classification with deep convolutional neural net- works.Advances in neural information processing systems, 25, 2012
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
ID-Sim is a new similarity metric that aims to capture human selective sensitivity to identities by training on curated real and generative synthetic data and validating against human annotations on recognition, retrieval, and generative tasks.
citing papers explorer
-
The First Controllable Bokeh Rendering Challenge at NTIRE 2026
The inaugural Controllable Bokeh Rendering Challenge at NTIRE 2026 received 8 valid submissions, mostly refinements of the Bokehlicious baseline, evaluated on unseen portrait images via fidelity metrics and expert perceptual assessment.
-
ID-Sim: An Identity-Focused Similarity Metric
ID-Sim is a new similarity metric that aims to capture human selective sensitivity to identities by training on curated real and generative synthetic data and validating against human annotations on recognition, retrieval, and generative tasks.