Reconstructing translucent objects using differentiable rendering

X Deng, F Luan, B Walter, K Bala… - ACM SIGGRAPH 2022 …, 2022 - dl.acm.org
Inverse rendering is a powerful approach to modeling objects from photographs, and we
extend previous techniques to handle translucent materials that exhibit subsurface …

Inverse rendering of translucent objects using physical and neural renderers

C Li, TT Ngo, H Nagahara - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
In this work, we propose an inverse rendering model that estimates 3D shape, spatially-
varying reflectance, homogeneous subsurface scattering parameters, and an environment …

Unified shape and svbrdf recovery using differentiable monte carlo rendering

F Luan, S Zhao, K Bala, Z Dong - Computer Graphics Forum, 2021 - Wiley Online Library
Reconstructing the shape and appearance of real‐world objects using measured 2D images
has been a long‐standing inverse rendering problem. In this paper, we introduce a new …

Differentiable Point-based Inverse Rendering

HG Chung, S Choi, SH Baek - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
We present differentiable point-based inverse rendering DPIR an analysis-by-synthesis
method that processes images captured under diverse illuminations to estimate shape and …

Real-time rendering of translucent meshes

X Hao, A Varshney - Acm Transactions on Graphics (Tog), 2004 - dl.acm.org
Subsurface scattering is important for photo-realistic rendering of translucent materials. We
make approximations to the BSSRDF model and propose a simple lighting model to …

Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting

K Zhang, F Luan, Q Wang, K Bala… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present an end-to-end inverse rendering pipeline that includes a fully differentiable
renderer, and can reconstruct geometry, materials, and illumination from scratch from a set …

[PDF][PDF] Reflectance Sharing: Image-based Rendering from a Sparse Set of Images.

TE Zickler, S Enrique, R Ramamoorthi… - Rendering …, 2005 - cseweb.ucsd.edu
When the shape of an object is known, its appearance is determined by the spatially-varying
reflectance function defined on its surface. Image-based rendering methods that use …

Learning to reconstruct shape and spatially-varying reflectance from a single image

Z Li, Z Xu, R Ramamoorthi, K Sunkavalli… - ACM Transactions on …, 2018 - dl.acm.org
Reconstructing shape and reflectance properties from images is a highly under-constrained
problem, and has previously been addressed by using specialized hardware to capture …

Image-based reconstruction of spatial appearance and geometric detail

HPA Lensch, J Kautz, M Goesele, W Heidrich… - ACM Transactions on …, 2003 - dl.acm.org
Real-world objects are usually composed of a number of different materials that often show
subtle changes even within a single material. Photorealistic rendering of such objects …

An adaptive parameterization for efficient material acquisition and rendering

J Dupuy, W Jakob - ACM Transactions on graphics (TOG), 2018 - dl.acm.org
One of the key ingredients of any physically based rendering system is a detailed
specification characterizing the interaction of light and matter of all materials present in a …