Sep 1, 2020 · This paper proposes a new structured, three level, benchmark dataset for the evaluation of stylised portrait images.

Apr 6, 2022 · This paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images.

Page 3. NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits. 3 generally challenging, suggesting a suitable direction for.

NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits. Computational Visual Media, 2022, 8(3): 445-465. https://doi.org ...

Sep 5, 2024 · faces, frontal views, and simple uncluttered backgrounds. Six NPR algorithms (both portrait-specific and general). were applied to the benchmark ...

To make progress towards a solution, this paper proposes a new structured, three level, benchmark dataset for the evaluation of stylised portrait images.

NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits ... Authors: Paul L. Rosin; Yu-Kun Lai; David Mould; Ran Yi; Itamar Berger ...

Winnemöller, "NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits", Computational Visual Media, vol. 8, pp 445–465, 2022 ...

Sep 1, 2020 · A new structured, three-level, benchmark dataset for the evaluation of stylised portrait images is proposed and a new methodology has been ...

To make progress towards a solution, this paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images.