ShichenLiu / SoftRas

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
MIT License
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How to Reconstruct Target Geometry with RGB images #91

Open Shilling818 opened 2 years ago

Shilling818 commented 2 years ago

In your paper, you mainly use silhouettes as ground truths. RGB images are used to improve the reconstruction performance. However, when I used your coding and fixed the textures, only RGB images cannot infer the geometry.

Below is the result of my inversion with 24 viewing angles composed of 3 different incident angles and 8 different azimuth angles. What's the problem? ![Uploading 微信图片_20211012155434.png…]() (a) reconstruct with silhouettes ![Uploading 微信图片_20211012155508.png…]() (b) reconstruct with RGB images