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Thank you for your job.
How to do Differentiable Rendering？Use https://github.com/google/tf_mesh_renderer？
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Hi! I found this issue when importing the differentiable renderer module (which was pushed last night), that the module was not imported in graphics/rendering/__init__.py after line 20. I believe addi…
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There seems to be some history of deleting and reviving OpenEXR as dependency but I couldn't find any reference to it in the C++ source code. What is it currently used for?
The context is that I'm…
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Thanks for this wonderful work!
I met troubles when I tried to use redner as a differentiable render module in my whole networks. Given an image I, I train an network X to predict the vertices corr…
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https://github.com/tensorflow/graphics/blob/master/tensorflow_graphics/rendering/differentiable_renderer/rasterizer.py
thanks for the link, I'm going to test this on my use case and I'll get back t…
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make it more module
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**Submitting author:** @avik-pal (Avik Pal)
**Repository:** https://github.com/avik-pal/RayTracer.jl
**Editor:** @matbesancon
**Reviewers:** @snoeyink, @dourouc05
**Author instructions**
Thanks for…
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Are there any plans to implement a rasterizer which can differentiably render a triangular mesh to an image, similar to https://github.com/google/tf_mesh_renderer or https://github.com/pmh47/dirt?
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We have predictions from model as new position of the vertices (x_new, y_new) for each node. In the accuracy loss do we create a segmentation mask (of 1s and 0s) from these predicted points and take L…
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Lovasz softmax as described in this paper (https://arxiv.org/pdf/1705.08790.pdf) is differentiable loss and can be used to optimize the intersection over union. Did you try to use it instead of RL fin…