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In real world multi-view textured object data. Several works were illustrated the mesh and BRDF estimation examples, but I try to do it with my photos. Unfortunately, even I use regulization of mesh vertexes like https://github.com/rgl-epfl/large-steps-pytorch does, it's hard to recover the correct geometry. So I guess the following the chanlenge I might not do it correctly. I may need some help with it:
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Hi @Start1er Reconstructions from real world captures come with a significant number of new challenges, as you've seen. I don't know enough about your setup, but unless you don't know exactly every parameter of your scene, you'll have a hard time getting decent results with PBR methods. Namely, you'll want to accurately model your light source and sensor if you wish to recover the BRDF. The unknown topology issue is pretty common, I'd recommend circumventing that by using an SDF optimization and then running through some meshing algorithm (marching cubes for example). There's not much more that I can offer currently. |
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Hi @Start1er
Reconstructions from real world captures come with a significant number of new challenges, as you've seen. I don't know enough about your setup, but unless you don't know exactly every parameter of your scene, you'll have a hard time getting decent results with PBR methods. Namely, you'll want to accurately model your light source and sensor if you wish to recover the BRDF.
The unknown topology issue is pretty common, I'd recommend circumventing that by using an SDF optimization and then running through some meshing algorithm (marching cubes for example). There's not much more that I can offer currently.