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pro vyhledávání: '"Eric Heitz"'
Autor:
Eric Heitz
Publikováno v:
Computer Graphics Forum. 39:121-132
Publikováno v:
SIGGRAPH Talks
Our objective is to compute a textural loss that can be used to train texture generators with multiple material channels typically used for physically based rendering such as albedo, normal, roughness, metalness, ambient occlusion, etc. Neural textur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bacb2eba840c599adc34e144811177e9
Autor:
Laurent Belcour, Eric Heitz
Publikováno v:
SIGGRAPH Talks
Recent work has shown that the error of Monte-Carlo rendering is visually more acceptable when distributed as blue-noise in screen-space. Despite recent efforts, building a screen-space sampler is still an open problem. In this talk, we present the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0817e952ab2d1e72cf3077004fd0e2b5
Publikováno v:
CVPR
We address the problem of computing a textural loss based on the statistics extracted from the feature activations of a convolutional neural network optimized for object recognition (e.g. VGG-19). The underlying mathematical problem is the measure of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aabd43de9f618286f37a207489aa710
Autor:
Eric Heitz, Fabrice Neyret
Publikováno v:
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM, 2018, ACM SIGGRAPH / Eurographics Symposium on High-Performance Graphics 2018, 1 (2), pp.Article No. 31:1-25. ⟨10.1145/3233304⟩
Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2018, ACM SIGGRAPH / Eurographics Symposium on High-Performance Graphics 2018, 1 (2), pp.Article No. 31:1-25. ⟨10.1145/3233304⟩
Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM, 2018, ACM SIGGRAPH / Eurographics Symposium on High-Performance Graphics 2018, 1 (2), pp.Article No. 31:1-25. ⟨10.1145/3233304⟩
Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2018, ACM SIGGRAPH / Eurographics Symposium on High-Performance Graphics 2018, 1 (2), pp.Article No. 31:1-25. ⟨10.1145/3233304⟩
We propose a new by-example noise algorithm that takes as input a small example of a stochastic texture and synthesizes an infinite output with the same appearance. It works on any kind of random-phase inputs as well as on many non-random-phase input
Publikováno v:
ACM Transactions on Graphics. 36:1-12
Normal mapping enhances the amount of visual detail of surfaces by using shading normals that deviate from the geometric normal. However, the resulting surface model is geometrically impossible and normal mapping is thus often considered a fundamenta
Autor:
Eric Heitz
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 852:10-14
We present a geometric method for computing an ellipse that subtends the same solid-angle domain as an arbitrarily positioned ellipsoid. With this method we can extend existing analytical solid-angle calculations of ellipses to ellipsoids. Our idea c
Autor:
Laurent Belcour, Eric Heitz
Recent work has shown that distributing Monte Carlo errors as a blue noise in screen space improves the perceptual quality of rendered images. However, obtaining such distributions remains an open problem with high sample counts and high-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc10d0f61b058c6b24f3cd5ceb7d0031
https://hal.archives-ouvertes.fr/hal-02158423
https://hal.archives-ouvertes.fr/hal-02158423
Publikováno v:
ACM Transactions on Graphics. 35:1-14
Modeling multiple scattering in microfacet theory is considered an important open problem because a non-negligible portion of the energy leaving rough surfaces is due to paths that bounce multiple times. In this paper we derive the missing multiple-s
Publikováno v:
ACM Transactions on Graphics. 35:1-8
In this paper, we show that applying a linear transformation---represented by a 3 x 3 matrix---to the direction vectors of a spherical distribution yields another spherical distribution, for which we derive a closed-form expression. With this idea, w