Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/139886
Title: Forge : extending anvil for visual evaluation of rendering pipelines
Other Titles: Proceedings of the 20th international joint conference on computer vision, imaging and computer graphics theory and applications - GRAPP
Authors: Napoli, Kevin
Bugeja, Keith
Spina, Sandro
Keywords: Computer graphics -- Congresses
Rendering (Computer graphics) -- Congresses
Image processing -- Digital techniques
Issue Date: 2025
Publisher: SciTePress
Citation: Napoli, K., Bugeja, K., & Spina, S. (2025). Forge: Extending Anvil for Visual Evaluation of Rendering Pipelines. In N. Magnenat-Thalmann, J. Kim, B. Sheng, Z. Deng, D. Thalmann, & P. Li (Eds.), Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – GRAPP (pp. 259-266). Setúbal: SciTePress. DOI: 10.5220/0013172200003912
Abstract: This paper introduces Forge, an extension of Anvil, aimed at enhancing evaluation processes in computer graphics pipelines. Forge addresses critical challenges in rendering systems, such as ensuring consistent configurations, minimising human error, and increasing reproducibility of experimental results. By decoupling evaluation logic from rendering engines, Forge facilitates seamless comparisons across different systems without manual configuration. The framework’s architecture supports decentralised evaluations, enabling operations across diverse environments and platforms. This flexibility allows for both local and remote evaluations, making Forge adaptable for a broad range of research applications, from small-scale experiments to comprehensive distributed rendering evaluations. Through case studies, this paper demonstrates Forge’s effectiveness in verifying rendering techniques, comparing performance, and aiding development of new algorithms, thereby providing a robust solution for accurate and reliable comparative studies in the field of computer graphics.
URI: https://www.um.edu.mt/library/oar/handle/123456789/139886
Appears in Collections:Scholarly Works - FacICTCS

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