NVlabs / nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
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how to perform training with our own dataset ? Will it produce same results with drone captured images ? #31

Closed piyushsingh2k7 closed 2 years ago

jmunkberg commented 2 years ago

We need accurate camera poses and good foreground segmentation masks for high quality results. Avoid motion blur, defocus blur and changing lighting conditions (we assume a constant lighting and optimize a single environment map from the images).

To prepare your own dataset, you can mostly follow https://github.com/bmild/nerf#generating-poses-for-your-own-scenes but please note that we need masks in the alpha channel.