DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

no code implementations • NeurIPS 2021 • Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler

We consider the challenging problem of predicting intrinsic object properties from a single image by exploiting differentiable renderers.

Disentanglement

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

2 code implementations • CVPR 2021 • Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler

We introduce an efficient neural representation that, for the first time, enables real-time rendering of high-fidelity neural SDFs, while achieving state-of-the-art geometry reconstruction quality.