16 citations · 18 across the 2 of their papers we have counts for
4 papers
Learning Neural Transmittance for Efficient Rendering of Reflectance Fields
Mohammad Shafiei, Sai Bi, Zhengqin Li +3
Recently neural volumetric representations such as neural reflectance fields have been widely applied to faithfully reproduce the appearance of real-world objects and scenes under…
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker
Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflectio…
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi +2
We propose a deep inverse rendering framework for indoor scenes. From a single RGB image of an arbitrary indoor scene, we create a complete scene reconstruction, estimating shape,…
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker
We propose a material acquisition approach to recover the spatially-varying BRDF and normal map of a near-planar surface from a single image captured by a handheld mobile phone cam…