A Qualitative and Quantitative Evaluation of 8 Clear Sky Models
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Abstract (arXiv)
We provide a qualitative and quantitative evaluation of 8 clear sky models used in Computer Graphics. We compare the models with each other as well as with measurements and with a reference model from the physics community. After a short summary of the physics of the problem, we present the measurements and the reference model, and how we "invert" it to get the model parameters. We then give an overview of each CG model, and detail its scope, its algorithmic complexity, and its results using the same parameters as in the reference model. We also compare the models with a perceptual study. Our quantitative results confirm that the less simplifications and approximations are used to solve the physical equations, the more accurate are the results. We conclude with a discussion of the advantages and drawbacks of each model, and how to further improve their accuracy.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Dec 2016.
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Citing papers per year: 2024: 1; 2025: 1.
2 papers.
- 2024Towards Physically-Based Sky-Modelingcited by 0
- 2025Towards Physically-Based Sky-Modeling For Image Based Lightingcited by 0
- 2025Towards Physically-Based Sky-Modeling For Image Based Lighting15 Dec 2025
- 2024Towards Physically-Based Sky-Modeling16 Dec 2024