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A Benchmark Image Set for Evaluating Stylization
(The Eurographics Association, 2016)
The non-photorealistic rendering community has had difficulty evaluating its research results. Other areas of computer graphics, and related disciplines such as computer vision, have made progress by comparing algorithms' ...
Depth-aware Neural Style Transfer
(Association for Computing Machinery, Inc (ACM), 2017)
Neural style transfer has recently received signi cant a ention and demonstrated amazing results. An e cient solution proposed by Johnson et al. trains feed-forward convolutional neural networks by de ning and optimizing ...
Benchmarking Non-Photorealistic Rendering of Portraits
(Association for Computing Machinery, Inc (ACM), 2017)
We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented ...