Inverting the Imaging Process by Learning an Implicit Camera Model-Reference-Cited by-同舟云学术

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Inverting the Imaging Process by Learning an Implicit Camera Model

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Huang Xin¹,Zhang Qi²,Feng Ying²,Li Hongdong³,Wang Qing¹

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University,Xi'an,China,710072

2. Tencent AI Lab

3. Australian National University

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204610.pdf?arnumber=10204610

Reference55 articles.

1. Exposure: A white-box photo post-processing framework;yuanming;ACM TOG,0

2. FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network

3. Automatic High-Dynamic Range Image Generation for Dynamic Scenes

4. HDR-NeRF: High Dynamic Range Neural Radiance Fields

5. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-Supervised Video Defocus Deblurring with Atlas Learning;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

2. Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging;IEEE Transactions on Computational Imaging;2024

3. Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

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