From 3648358cbdb855ebb9ba449e47f392ef50fec768 Mon Sep 17 00:00:00 2001 From: Mike W Date: Sat, 21 Mar 2020 11:56:57 +0100 Subject: [PATCH] Adding renderer-based papers Adding differentiable-renderer based 3d reconstruction papers --- README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/README.md b/README.md index 2e3079f..87cf074 100644 --- a/README.md +++ b/README.md @@ -755,6 +755,15 @@ Deformable Shape Completion with Graph Convolutional Autoencoders (2018 CVPR)[VOCA](https://voca.is.tue.mpg.de/) is a simple and generic speech-driven facial animation framework that works across a range of identities. The codebase demonstrates how to synthesize realistic character animations given an arbitrary speech signal and a static character mesh.

+:gem: Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer [[Paper]](https://arxiv.org/abs/1908.01210)[[Site]](https://nv-tlabs.github.io/DIB-R/)[[Code]](https://github.com/nv-tlabs/DIB-R) +

+ +:gem: Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning [[Paper]](https://arxiv.org/abs/1904.01786)[[Code]](https://github.com/ShichenLiu/SoftRas) +

+ +NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis [[Project]](http://www.matthewtancik.com/nerf)[[Paper]](https://arxiv.org/abs/2003.08934)[[Code]](https://github.com/bmild/nerf) +

+ ## Texture/Material Analysis and Synthesis