Artificial intelligence in the creative industries: a review
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 …
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
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 …
vision with many applications, such as robotics and augmented reality. The advent of …
Nerd: Neural reflectance decomposition from image collections
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 …
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
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 …
renderer, and can reconstruct geometry, materials, and illumination from scratch from a set …
Emlight: Lighting estimation via spherical distribution approximation
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 …
investigated extensively in the computer vision and computer graphic research community …
Sparse needlets for lighting estimation with spherical transport loss
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 …
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …
Diffcomplete: Diffusion-based generative 3d shape completion
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 …
Compared with prior deterministic and probabilistic methods, we strike a balance between …
Differentiable surface splatting for point-based geometry processing
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 …
point clouds. Gradients for point locations and normals are carefully designed to handle …
Akb-48: A real-world articulated object knowledge base
Human life is populated with articulated objects. A comprehensive understanding of
articulated objects, namely appearance, structure, physics property, and semantics, will …
articulated objects, namely appearance, structure, physics property, and semantics, will …
Deep learning based point cloud registration: an overview
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 …
another. Such registration is a fundamental problem in computer vision and robotics, and …