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Hello everyone!

I am Antoine, a Research Scientist at Facebook AI Applied Research (FAIAR). My research interests span a wide range of topics related to machine learning, computer vision and graphics. On my github repository you can find my recent work on emotion recognition as well as my PhD work on real-time rendering. For more details, please have a look at my personal website : https://www.antoinetlc.com/.

Antoine Toisoul's Projects

dcgan_tensorflow icon dcgan_tensorflow

Implementation of Deep Convolutional Generative Adversarial Networks on MNIST data in Tensorflow.

interactive_diffraction icon interactive_diffraction

Open-source implementation of the paper : Interactive Diffraction from Biological Nanostructures by Dhillon et al. [2014]

linear_algebra icon linear_algebra

Implementation of common linear algebra and machine learning algorithms

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

real3d icon real3d

Real3D is a realistic real-time renderer in OpenGL 4

realistic_diffraction icon realistic_diffraction

[SIGGRAPH 2017] Realistic diffraction is the official implementation of the paper Practical Acquisition and Rendering of Diffraction Effects in Surface Reflectance. Antoine Toisoul and Abhijeet Ghosh. ACM Transactions on Graphics, 2017

reflectance_maps icon reflectance_maps

Implementation of algorithms to compute reflectance maps from measurements with gradient illumination.

shaderlabframework icon shaderlabframework

The Shader Lab Framework is a teaching tool to solidify the fundamentals of Computer Graphics with OpenGL 4.0 and GLSL.

sqem icon sqem

Standalone Spherical Quadric Error Metric implementation, introduced with Sphere-Meshes (Jean-Marc Theiry, Emilie Guy and Tamy Boubekeur, ACM SIGGRAPH Asia 2013).

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