We describe a technique for real-time rendering of dynamic,
\nspatially-varying BRDFs in static scenes with all-frequency shad-
\nows from environmental and point lights. The 6D SVBRDF is rep-
\nresented with a general microfacet model and spherical lobes \ufb01t to
\nits 4D spatially-varying normal distribution function (SVNDF). A
\nsum of spherical Gaussians (SGs) provides an accurate approxima-
\ntion with a small number of lobes. Parametric BRDFs are \ufb01t on-
\nthe-\ufb02y using simple analytic expressions; measured BRDFs are \ufb01t
\nas a preprocess using nonlinear optimization. Our BRDF represen-
\ntation is compact, allows detailed textures, is closed under products
\nand rotations, and supports re\ufb02ectance of arbitrarily high specular-
\nity. At run-time, SGs representing the NDF are warped to align the
\nhalf-angle vector to the lighting direction and multiplied by the mi-
\ncrofacet shadowing and Fresnel factors. This yields the relevant 2D
\nview slice on-the-\ufb02y at each pixel, still represented in the SG basis.
\nWe account for macro-scale shadowing using a new, nonlinear vis-
\nibility representation based on spherical signed distance functions
\n(SSDFs). SSDFs allow per-pixel interpolation of high-frequency
\nvisibility without ghosting and can be multiplied by the BRDF and
\nlighting ef\ufb01ciently on the GPU.<\/p>\n","protected":false},"excerpt":{"rendered":"
We describe a technique for real-time rendering of dynamic, spatially-varying BRDFs in static scenes with all-frequency shad- ows from environmental and point lights. The 6D SVBRDF is rep- resented with a general microfacet model and spherical lobes \ufb01t to its 4D spatially-varying normal distribution function (SVNDF). A sum of spherical Gaussians (SGs) provides an accurate […]<\/p>\n","protected":false},"featured_media":363266,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13562,13563],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-363263","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-computer-vision","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/svDh8pmVxRs","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/363263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/363263\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/363266"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=363263"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=363263"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=363263"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=363263"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=363263"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=363263"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=363263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}