[PDF][PDF] Total relighting: learning to relight portraits for background replacement.

R Pandey, S Orts-Escolano, C Legendre, C Haene… - ACM Trans …, 2021 - 3dvar.com
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 …

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 …

Deep symmetric network for underexposed image enhancement with recurrent attentional learning

L Zhao, SP Lu, T Chen, Z Yang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Underexposed image enhancement is of importance in many research domains. In this
paper, we take this problem as image feature transformation between the underexposed …

Neural light transport for relighting and view synthesis

X Zhang, S Fanello, YT Tsai, T Sun, T Xue… - ACM Transactions on …, 2021 - dl.acm.org
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 …

Towards high fidelity monocular face reconstruction with rich reflectance using self-supervised learning and ray tracing

A Dib, C Thebault, J Ahn, PH Gosselin… - Proceedings of the …, 2021 - openaccess.thecvf.com
Robust face reconstruction from monocular image in general lighting conditions is
challenging. Methods combining deep neural network encoders with differentiable …

Towards high fidelity face relighting with realistic shadows

A Hou, Z Zhang, M Sarkis, N Bi… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

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 …

Photoapp: Photorealistic appearance editing of head portraits

M BR, A Tewari, A Dib, T Weyrich… - ACM Transactions …, 2021 - discovery.ucl.ac.uk
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 …

Single-stage instance shadow detection with bidirectional relation learning

T Wang, X Hu, CW Fu, PA Heng - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …

Nerd: Neural 3d reflection symmetry detector

Y Zhou, S Liu, Y Ma - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
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 …