2019
![: Comparison between gradient-domain reconstruction and Monte Carlo denoising. For surface rendering, gradient-domain rendering is less efficient than Monte Carlo denoisers that use auxiliary buffers (NFOR [BRM∗ 16]) or histograms of path samples (BCD [BB17]). NFOR could also be applied to address noisy regions remaining in gradient-domain path tracing by using the reconstructed image as guiding features, leading to improved image quality (see G-PT + NFOR in the KITCHEN scene). For volume rendering, gradient-domain rendering is comparable to Monte Carlo denoisers, particularly with photon density estimation.](https://publications.graphics.tudelft.nl/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc3NEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4731723aa54c9a4f64c86fbded9e080fcce0ffed/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJY0c1bkJqb0dSVlE2RTNKbGMybDZaVjkwYjE5bWFXeHNXd2RwQXBBQmFRS1FBUT09IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--8786188a9503cffd21c59bbcd5519930c73c621f/hua-survey.png)
In Proceedings of Eurographics (Dirk Bartz Prize),
2019
In Proceedings of Eurographics (Dirk Bartz Prize),
2019
In Proceedings of High Performance Graphics (Short Papers),
2019
2018
IEEE Transactions on Visualization and Computer Graphics,
2018
Computer Graphics Forum,
2018
Computers & Graphics,
2018
In Proceedings of Superhuman Sports Design Challenge,
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In Proceedings of Eurographics (Tutorials),
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ACM Transactions on Graphics,
2018
In Proceedings of Graphics Interface,
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