I see that there is a way to use command line. Is it better to use 16bit fp? How about the other textures, can we use 16bit normal/albedo textures for better results? In your example data, position textures are exr files. Is there anything I might be missing? I'm using Substance Designer baking. Comparing your normal and bent textures to mine, I see lots of difference. Although I've taken a quick look at the github docs, I couldn't see information about how you're baking your maps. I need to adjust my red mask and introduce the green mask as well. Thanks for the wonderful tool, I'm amazed with your results. The best is to start with an empty mask and then iterate on it if the results are not good enough. You just have to select (roughly) a material as lighting reference and mask everything else. So lots of materials doesn't means lots of masks. But we can see that it's pretty close.Ĥ- The tool use a chosen material as "lighting measurement reference". The Re-Lighting is a basic real-time IBL lighting (just use the normal to look up EnvMap texture), so, it's a bit cheap. Because the Environment lighting is separated by the tool, I can rotate it. ![]() On the right, the "de-lighted / re-lit" version. On the left, the Original photogrammetry. I've got comparison of the De-Lighted model lit by the extracted irradiance map, I'll publish them at the same time as the White-Paper. But, obviously, the roughness (smoothness) could be a good input parameter to get a better reconstruction. More than that, when those software reconstruct the texture, they project it from many different view angles, this turn a material to look rougher than it is. Materials are considered as Lambertian because photogrammetry software don't work really well on reflective objects. I writing a white paper that deeply explain everything about the de-lighting techniques and I will publish it very soon. ![]() Local de-lighting allows to better remove Global Illumination and Occlusion.ģ- It's true ! more you know on what's happens behind the tool, more you can use it well. More deep you go in the tree, more you go from global to local de-lighting. The EnvMap Tree could be compared to a lightfield (sorry for the buzz word). The EnvMap in the debug view is the one that is the root of the "EnvMap Tree" and is used to remove lighting on the non-occluded parts. ply file).Ģ- At the first time we wanted to add this feature, but since we use an array of generated EnvMaps, we can't do this anymore. As a comparison: using photoscan at its highest settings for 150 (12mp)photos will use all of 32gb of my ram, not to mention needing to leave the computer on overnight(and still wake up to unfinished processing).Īnyway the software will undoubtedly change as its a fast growing area, but as a final note its very possible to get started with just a phone camera.ġ- you're right ! we will give the 3d mesh too ! but only the retopo (100 KB) because of the HD size (2 GB. The gdc talk mentions they captured 300-500 photos per asset, which seems a tad excessive? The camera they used probably has double the resolution of mine. ![]() I could kick myself because I'm not sure when Ill return to that area, and sequoias only grow in a very small handful of places. This one is of a sequoia, only 30 photos and it was nowhere near enough. It was about 86 photos for that big rock(it was about 6 feet I think) and it was probably the right amount for the detail captured. This picture kinda shows how you take pictures of the object, each blue square is a photo. I pretty much used the same process described in the video, although I've only gotten as far as processing them in agisoft, theres still more that could be done(such as cleaning up holes in zbrush before generating the lowres, manual uvs before generating the maps to plug into the delighter), but these are just some examples from my first outdoor attempt at the process. I used a 5d1 for the photos(all on a tripod at lowest iso with a remote shutter to reduce camera blur, but this was apparently not necessary according to the talk and I'm going to have to do more tests to see), and agisoft photoscan for processing them.
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