daniilidis-group/neural_renderer

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1167 stars · 254 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch port of the Neural 3D Mesh Renderer (CVPR 2018), providing differentiable rasterization of 3D meshes. It supports rendering from multiple viewpoints and gradient-based optimization of vertices, textures, and camera parameters.

Use cases

• render 3d meshes in pytorch with gradients
• optimize mesh vertices to match a silhouette
• optimize textures from a reference image
• estimate camera pose via gradient descent
• differentiable rendering for deep learning
• port chainer neural renderer to pytorch

When to choose

• you need differentiable mesh rendering in PyTorch
• you want to reproduce the Neural 3D Mesh Renderer paper
• you need to optimize geometry, texture, or camera parameters end-to-end

When to avoid

• you need a modern actively maintained renderer
• you require recent PyTorch versions without patching
• you need production 3D rendering rather than research use

Facets

library · maturity maintenance

graphics machine-learning image-processing computer-vision graphics deep-learning python pytorch 3d-rendering differentiable-rendering mesh-renderer cvpr-2018 gpu

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