Fitting Neural Textures and PBR Material Maps with ES (No Backprop)

Automated excerpt

The training command wasntc m1. png m2. png m3. png m4. png --latent 128 128 4 --latent2 64 64 4 --mlp 36,36 --mlp-pairs 64 --iters 3000 --lr-anneal 0. 5 0. 05 --mlp-fd 0. 75 --out out_m1234 Normal map, 23. 2 dBRoughness, 31. 5 dBAlbedo, 23. 2 dBAmbient occlusion, 29. 6 dBout_m1234/model. bin is the trained material; evaluate it with ntc m1. png m2. png m3. png m4. png --load out_m1234/model. bin --latent 128 128 4 --latent2 64 64 4 --mlp 36,36 --iters 0.

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