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Brisbane based photographer

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Nips Computational Photography

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Machine Learning meets Computational Photography

    https://videolectures.net/nipsworkshops2010_computational_photography/
    Besides discussing such questions, the goal of this workshop is two-fold: (i) to present the current approaches, their possible limitations, and open problems of CP to the NIPS community, and (ii) to foster interaction between researchers from machine learning, neuro science and CP to advance the state of the art in CP.

Computational Photography and Imaging | Research

    https://research.nvidia.com/research-area/computational-photography-imaging
    Computational Photography and Imaging Associated Publications 2022 Variable Bitrate Neural Fields Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler ACM SIGGRAPH 2022 Conference Proceedings Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Computational Photography - NYU Computer Science

    https://cs.nyu.edu/~fergus/teaching/comp_photo/index.html
    Computational Photography is an exciting new area at the intersection of Computer Graphics and Computer Vision. Through the use of computation, its goal is to move beyond the limitations of conventional photography to produce enhanced and novel imagery of the world around us. The main focus of the course will be on software-based methods for

Machine Learning meets Computational Photography

    https://videolectures.net/nipsworkshops2011_computational_photography/
    the objectives of this workshop are: (i) to give an introduction to cp, present current approaches and report about the latest developments in this fast-progressing field, (ii) spot and discuss current limitations and present open problems of cp to the nips community, and (iii) to encourage scientific exchange and foster interaction between …

What Is Computational Photography? - How-To Geek

    https://www.howtogeek.com/659806/what-is-computational-photography/
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Machine Learning Meets Computational Photography Workshop

    https://www.k4all.org/event/machine-learning-meets-computational-photography-workshop/
    Machine Learning Meets Computational Photography Workshop. NIPS 2011 - Machine learning and Computational Neuroscience Conference. 16 - 17 December 2011 Sierra Nevada, Spain NIPS 2011 Event homepage. Share Tweet. In recent years, computational photography (CP) has emerged as a new field that has put forward a new understanding and thinking of ...

computational-photography · GitHub Topics · GitHub

    https://github.com/topics/computational-photography?o=asc&s=stars
    UCL Computational Photography and Capture Coursework. image-processing computational-photography Updated Mar 26, 2019; MATLAB; rizujain ... (NIPS 2016) computer-vision computational-photography Updated Apr 27, 2021; Python; kenchen10 / …

How to use Computational Photography with your DSLR

    https://www.rittmuller.com/blog/2019/11/11/how-to-use-computational-photography-with-your-dslr
    Robert Rittmuller. November 11, 2019. How-To. One of the main advantages of smartphone photography is the easy access to all the latest computational photography tools. These tools, often in the form of apps, and sometimes directly built into the smartphone camera itself enable the photographer to enhance images well beyond the capabilities of ...

NIPS 2010

    https://nips.cc/Conferences/2010/ScheduleMultitrack?event=1983
    applications of cp are not only everyday'' photography but also new methods for scientific imaging, such as microscopy, biomedical imaging, and astronomical imaging, and can thus be expected to have a significant impact in many areas. there is an apparent convergence of methods, what we have traditionally called image processing'', and recently …

Computational photography - Wikipedia

    https://en.wikipedia.org/wiki/Computational_photography
    The definition of computational photography has evolved to cover a number of subject areas in computer graphics, computer vision, and applied optics. These areas are given below, organized according to a taxonomy proposed by Shree K. Nayar. Within each area is a list of techniques, and for each technique one or two representative papers or ...

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