Artificial intelligence in the creative industries: a review

N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review

J Li, W Gao, Y Wu, Y Liu, Y Shen - Computational Visual Media, 2022 - Springer
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …

Nerd: Neural reflectance decomposition from image collections

M Boss, R Braun, V Jampani… - Proceedings of the …, 2021 - openaccess.thecvf.com
Decomposing a scene into its shape, reflectance, and illumination is a challenging but
important problem in computer vision and graphics. This problem is inherently more …

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 …

Emlight: Lighting estimation via spherical distribution approximation

F Zhan, C Zhang, Y Yu, Y Chang, S Lu, F Ma… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Illumination estimation from a single image is critical in 3D rendering and it has been
investigated extensively in the computer vision and computer graphic research community …

Sparse needlets for lighting estimation with spherical transport loss

F Zhan, C Zhang, W Hu, S Lu, F Ma… - Proceedings of the …, 2021 - openaccess.thecvf.com
Accurate lighting estimation is challenging yet critical to many computer vision and computer
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …

Diffcomplete: Diffusion-based generative 3d shape completion

R Chu, E **e, S Mo, Z Li, M Nießner… - Advances in Neural …, 2024 - proceedings.neurips.cc
We introduce a new diffusion-based approach for shape completion on 3D range scans.
Compared with prior deterministic and probabilistic methods, we strike a balance between …

Differentiable surface splatting for point-based geometry processing

W Yifan, F Serena, S Wu, C Öztireli… - ACM Transactions on …, 2019 - dl.acm.org
We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for
point clouds. Gradients for point locations and normals are carefully designed to handle …

Akb-48: A real-world articulated object knowledge base

L Liu, W Xu, H Fu, S Qian, Q Yu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Human life is populated with articulated objects. A comprehensive understanding of
articulated objects, namely appearance, structure, physics property, and semantics, will …

Deep learning based point cloud registration: an overview

Z Zhang, Y Dai, J Sun - Virtual Reality & Intelligent Hardware, 2020 - Elsevier
Point cloud registration aims to find a rigid transformation for aligning one point cloud to
another. Such registration is a fundamental problem in computer vision and robotics, and …