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Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
Objectstitch: Object compositing with diffusion model
Object compositing based on 2D images is a challenging problem since it typically involves
multiple processing stages such as color harmonization, geometry correction and shadow …
multiple processing stages such as color harmonization, geometry correction and shadow …
Editable scene simulation for autonomous driving via collaborative llm-agents
Scene simulation in autonomous driving has gained significant attention because of its huge
potential for generating customized data. However existing editable scene simulation …
potential for generating customized data. However existing editable scene simulation …
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Reconstruction and intrinsic decomposition of scenes from captured imagery would enable
many applications such as relighting and virtual object insertion. Recent NeRF based …
many applications such as relighting and virtual object insertion. Recent NeRF based …
Learning to predict indoor illumination from a single image
MA Gardner, K Sunkavalli, E Yumer, X Shen… - arxiv preprint arxiv …, 2017 - arxiv.org
We propose an automatic method to infer high dynamic range illumination from a single,
limited field-of-view, low dynamic range photograph of an indoor scene. In contrast to …
limited field-of-view, low dynamic range photograph of an indoor scene. In contrast to …
Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image
We propose a deep inverse rendering framework for indoor scenes. From a single RGB
image of an arbitrary indoor scene, we obtain a complete scene reconstruction, estimating …
image of an arbitrary indoor scene, we obtain a complete scene reconstruction, estimating …
[PDF][PDF] Single image portrait relighting.
Tiancheng Sun , Jonathan T. Barron , Yun-Ta Tsai , Zexiang Xu , Xueming Yu , Graham Fyffe ,
Christoph Rhemann , Jay Busch , Paul Page 1 Single Image Portrait Relighting Tiancheng …
Christoph Rhemann , Jay Busch , Paul Page 1 Single Image Portrait Relighting Tiancheng …
Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content
D Marnerides, T Bashford‐Rogers… - Computer Graphics …, 2018 - Wiley Online Library
High dynamic range (HDR) imaging provides the capability of handling real world lighting as
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
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 …
Neural rerendering in the wild
We explore total scene capture---recording, modeling, and rerendering a scene under
varying appearance such as season and time of day. Starting from Internet photos of a …
varying appearance such as season and time of day. Starting from Internet photos of a …