M. Andersen, S. Kleindienst, L. Yi, J. Lee, M. Bodart et al., An intuitive daylighting performance analysis and optimization approach, Building Research & Information, vol.36, pp.593-607, 2008.

D. Azinovi?, T. Li, A. Kaplanyan, and M. Nießner, Inverse Path Tracing for Joint Material and Lighting Estimation, Proc. Computer Vision and Pattern Recognition (CVPR), 2019.

S. Belongie, Rodrigues' Rotation Formula. From MathWorld -A Wolfram Web Resource, 2019.

C. Che, F. Luan, and S. Zhao, Kavita Bala, and Ioannis Gkioulekas, Inverse Transport Networks, 2018.

M. De-la-gorce, N. Paragios, and D. J. Fleet, Model-based hand tracking with texture, shading and self-occlusions, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00918712

A. Delaunoy and E. Prados, Gradient Flows for Optimizing Triangular Mesh-based Surfaces: Applications to 3D Reconstruction Problems Dealing with Visibility, International Journal of Computer Vision, vol.95, issue.2, pp.100-123, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00546105

P. Gargallo, E. Prados, and P. Sturm, Minimizing the Reprojection Error in Surface Reconstruction from Images, ICCV 2007, pp.1-8, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00266287

I. Gkioulekas, A. Levin, and T. Zickler, An Evaluation of Computational Imaging Techniques for Heterogeneous Inverse Scattering, Computer Vision -ECCV, pp.685-701, 2016.

I. Gkioulekas, S. Zhao, K. Bala, T. Zickler, and A. Levin, Inverse Volume Rendering with Material Dictionaries, ACM Trans. Graph, vol.32, p.162, 2013.

A. Griewank and A. Walther, Evaluating derivatives: principles and techniques of algorithmic differentiation, vol.105, 2008.

Y. Guo, M. Ha?an, and S. Zhao, Position-Free Monte Carlo Simulation for Arbitrary Layered BSDFs, ACM Trans. Graph, vol.37, p.6, 2018.

M. Ha?an and R. Ramamoorthi, Interactive Albedo Editing in Path-traced Volumetric Materials, ACM Trans. Graph, vol.32, issue.2, 2013.

E. Heitz, J. Dupuy, S. Hill, and D. Neubelt, Real-time Polygonal-light Shading with Linearly Transformed Cosines, ACM Trans. Graph, vol.35, issue.4, 2016.

E. Heitz, J. Hanika, C. Eugene-d'eon, and . Dachsbacher, Multiplescattering microfacet BSDFs with the Smith model, ACM Transactions on Graphics, vol.35, 2016.

A. Jalobeanu, F. O. Kuehnel, and J. C. Stutz, Modeling Images of Natural 3D Surfaces: Overview and Potential Applications. 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004.

J. T. Kajiya, The Rendering Equation, SIGGRAPH Comput. Graph, vol.20, pp.143-150, 1986.

H. Kato, Y. Ushiku, and T. Harada, Neural 3D Mesh Renderer, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

C. Kelemen, L. Szirmay-kalos, G. Antal, and F. Csonka, A simple and robust mutation strategy for the metropolis light transport algorithm, Computer Graphics Forum, vol.21, pp.531-540, 2002.

M. Kettunen, M. Manzi, M. Aittala, J. Lehtinen, F. Durand et al., Gradient-Domain Path Tracing, ACM Trans. Graph, vol.34, p.4, 2015.

P. Khungurn, D. Schroeder, S. Zhao, K. Bala, and S. Marschner, Matching Real Fabrics with Micro-Appearance Models, ACM Trans. Graph, vol.35, issue.1, 2015.

J. Lehtinen, T. Karras, S. Laine, M. Aittala, F. Durand et al., Gradient-Domain Metropolis Light Transport, ACM Trans. Graph, vol.32, p.4, 2013.

T. Li, , 2019.

T. Li, M. Aittala, F. Durand, and J. Lehtinen, Differentiable Monte Carlo Ray Tracing through Edge Sampling, ACM Trans. Graph. (Proc. SIG-GRAPH Asia), vol.37, p.11, 2018.

H. Liu, M. Tao, and A. Jacobson, Paparazzi: Surface Editing by way of Multi-View Image Processing, ACM Transactions on Graphics, 2018.

S. Liu, T. Li, W. Chen, and H. Li, Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning, 2019.

M. Matthew, M. J. Loper, and . Black, OpenDR: An Approximate Differentiable Renderer, Computer Vision -ECCV, 2014.

T. Nguyen-phuoc, C. Li, S. Balaban, and Y. Yang, RenderNet: A deep convolutional network for differentiable rendering from 3D shapes, 2018.

M. Nimier-david, D. Vicini, T. Zeltner, and W. Jakob, Mitsuba 2: A Retargetable Forward and Inverse Renderer, Proceedings of SIGGRAPH Asia, vol.38, 2019.

M. Olson and H. Zhang, Silhouette Extraction in Hough Space, Comput. Graph. Forum, vol.25, 2006.

M. Papas, C. Regg, W. Jarosz, B. Bickel, P. Jackson et al., Fabricating Translucent Materials Using Continuous Pigment Mixtures, ACM Trans. Graph, vol.32, p.146, 2013.

G. Steven, J. Parker, A. Bigler, H. Dietrich, J. Friedrich et al., OptiX: A General Purpose Ray Tracing Engine (SIGGRAPH '10), 2010.

G. Patow and X. Pueyo, A Survey of Inverse Rendering Problems, Computer Graphics Forum, vol.22, pp.663-687, 2003.

F. Petersen, A. Bermano, O. Deussen, and D. Cohen-or, Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer, 2019.

R. Ramamoorthi, D. Mahajan, and P. Belhumeur, A First-order Analysis of Lighting, Shading, and Shadows, ACM Trans. Graph, vol.26, p.1, 2007.

H. Rhodin, N. Robertini, C. Richardt, H. Seidel, and C. Theobalt, A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation (ICCV '15), 2015.

, Article 228. Publication date, ACM Trans. Graph, vol.38, issue.6, 2019.

, Reparameterizing Discontinuous Integrands for Differentiable Rendering ?, vol.228, issue.13

F. Rousselle and W. Jarosz, Image-space Control Variates for Rendering, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), vol.35, 2016.

D. E. Rumelhart, G. E. Hinton, and R. J. Williams, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol.1, pp.318-362, 1986.

Y. Schwartzburg, R. Testuz, A. Tagliasacchi, and M. Pauly, Highcontrast Computational Caustic Design, ACM Trans. Graph, vol.33, issue.4, 2014.

K. Simonyan and A. Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition, International Conference on Learning Representations, 2015.

V. N. Smelyansky, R. D. Morris, F. O. Kuehnel, D. A. Maluf, and P. Cheeseman, Dramatic Improvements to Feature Based Stereo, Computer Vision -ECCV 2002, 2002.

C. Tsai, A. C. Sankaranarayanan, and I. Gkioulekas, Beyond Volumetric Albedo -A Surface Optimization Framework for Non-Line-Of-Sight Imaging, 2019.

E. Veach, Robust Monte Carlo Methods for Light Transport Simulation, Ph.D. Dissertation, 1998.

Z. Velinov, M. Papas, D. Bradley, P. Gotardo, P. Mirdehghan et al., Appearance Capture and Modeling of Human Teeth, ACM Trans. Graph, vol.37, 2018.

I. Wald, S. Woop, C. Benthin, G. S. Johnson, and M. Ernst, Embree: A Kernel Framework for Efficient CPU Ray Tracing, ACM Trans. Graph, vol.33, issue.4, 2014.

Z. Wang, E. Simoncelli, and A. Bovik, Multiscale structural similarity for image quality assessment, Conference Record of the Asilomar Conference on Signals, Systems and Computers 2, 2003.

R. E. Wengert, A Simple Automatic Derivative Evaluation Program, Commun. ACM, vol.7, pp.463-464, 1964.

E. Woodcock, . Murphy, S. Hemmings, and . Longworth, Techniques used in the GEM code for Monte Carlo neutronics calculations in reactors and other systems of complex geometry, Proc. Conf. Applications of Computing Methods to Reactor Problems, vol.557, 1965.

S. Zhao, L. Wu, F. Durand, and R. Ramamoorthi, Downsampling Scattering Parameters for Rendering Anisotropic Media, ACM Trans. Graph, vol.35, p.6, 2016.