[PDF][PDF] Total relighting: learning to relight portraits for background replacement.
Compositing a person into a scene to look like they are really there is a fundamental
technique in visual effects, with many other applications such as smartphone photography …
technique in visual effects, with many other applications such as smartphone photography …
Canet: A context-aware network for shadow removal
Z Chen, C Long, L Zhang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
In this paper, we propose a novel two-stage context-aware network named CANet for
shadow removal, in which the contextual information from non-shadow regions is transferred …
shadow removal, in which the contextual information from non-shadow regions is transferred …
Deep symmetric network for underexposed image enhancement with recurrent attentional learning
Underexposed image enhancement is of importance in many research domains. In this
paper, we take this problem as image feature transformation between the underexposed …
paper, we take this problem as image feature transformation between the underexposed …
Neural light transport for relighting and view synthesis
The light transport (LT) of a scene describes how it appears under different lighting
conditions from different viewing directions, and complete knowledge of a scene's LT …
conditions from different viewing directions, and complete knowledge of a scene's LT …
Towards high fidelity monocular face reconstruction with rich reflectance using self-supervised learning and ray tracing
Robust face reconstruction from monocular image in general lighting conditions is
challenging. Methods combining deep neural network encoders with differentiable …
challenging. Methods combining deep neural network encoders with differentiable …
Towards high fidelity face relighting with realistic shadows
Existing face relighting methods often struggle with two problems: maintaining the local
facial details of the subject and accurately removing and synthesizing shadows in the relit …
facial details of the subject and accurately removing and synthesizing shadows in the relit …
Practical face reconstruction via differentiable ray tracing
A Dib, G Bharaj, J Ahn, C Thébault… - Computer Graphics …, 2021 - Wiley Online Library
We present a differentiable ray‐tracing based novel face reconstruction approach where
scene attributes–3D geometry, reflectance (diffuse, specular and roughness), pose, camera …
scene attributes–3D geometry, reflectance (diffuse, specular and roughness), pose, camera …
Photoapp: Photorealistic appearance editing of head portraits
Photorealistic editing of head portraits is a challenging task as humans are very sensitive to
inconsistencies in faces. We present an approach for high-quality intuitive editing of the …
inconsistencies in faces. We present an approach for high-quality intuitive editing of the …
Single-stage instance shadow detection with bidirectional relation learning
Instance shadow detection aims to find shadow instances paired with the objects that cast
the shadows. The previous work adopts a two-stage framework to first predict shadow …
the shadows. The previous work adopts a two-stage framework to first predict shadow …
Nerd: Neural 3d reflection symmetry detector
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can
support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry …
support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry …