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Michael Fischer
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    Michael Fischer

    Michael Fischer

    Currently based in:
    London, UK

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    News

    • 05/25: I will be serving as a PC member for the Technical Communications and Posters at SIGGRAPH Asia 2025.

    • 05/25: I am super excited to announce that I have successfully defended my PhD thesis, titled "Efficient and Accurate Optimization in Inverse Rendering and Computer Graphics" in front of my examiners Kartic Subr and Gabriel Brostow!

    • 05/25: I have co-organized the technical papers fast forward at Eurographics 2025.

    • 04/25: I am co-organizing the London GenAI Forum 2025 on the 15th of April - hope to see many of you there!

    • 03/25: I'm super excited to announce that I've joined Adobe Research London as a research scientist!

    • 01/25: My PhD thesis has been featured in the SIGGRAPH '25 Thesis Fast Foward.

    • 11/24: Our work on 3D-consistent material selection is available on arXiv now!

    • 11/24: Our work on second-order stochastic gradient estimators that can be used for inverse rendering is available on arXiv now!

    • 06/24: I am starting an internship at Adobe Research London as a research scientist intern.

    • 05/24: ZeroGrads, our work on optimizing high-dimensional black-box graphics pipelines, was accepted as a SIGGRAPH '24 journal paper! Check out the arXiv preprint!

    • 05/24: Neural Bounding, our work on conservative bounding networks was accepted as a SIGGRAPH '24 conference paper! Check out the preprint and the project page!

    • 04/24: I will present my research at the Doctoral Consortium at Eurographics 2024.

    • 02/24: I was awared a scholarship by the Rabin Ezra Scholarship Trust.

    • 02/24: Our work on NeRF Analogies for 3D-consistent semantic appearance transfer was accepted to CVPR 2024!

    • 02/24: I will be giving a talk at HiVisComp in the Czech Republic. Come say hi if you're at the conference!

    • 01/24: I produced the video for the SIGGRAPH 2024 Thesis Fast-Foward. Check it out here!

    • 10/23: I gave a talk on "Advanced Optimization for Machine Learning in Rendering" at the UCL Research Conference.

    • 10/23: Our work on conservative Neural Bounding networks is now available as arXiv preprint.

    • 07/23: I have been invited to present a short version of our work on plateau-reduced differentiable path tracing at the Differentiable Almost Everything workshop at ICML 2023 in Honolulu.

    • 07/23: I joined Meta in Redmond, WA, as a research scientist intern.

    • 06/23: I gave an invited talk at UBC Vancouver, Canada.

    • 05/23: I gave a talk about Advanced Machine Learning for Rendering at the High Beams seminar.

    • 02/23: Our work on plateau-free differentiable path tracing was accepted to CVPR 2023.

    • 01/23: Our work on meta-sampling for BRDF learners was accepted to Eurographics 2023.

    • 12/22: I presented our work Metappearance at Siggraph Asia 2022.

    • 12/22: I was invited as a speaker at the KAIST Geometric & Visual Computing Workshop in Daejeon, South Korea.

    • 10/22: I was invited to give a talk at Meta Reality Labs.

    • 03/22: I gave a talk about meta-learning for appearance reproduction at PRIME.

    • 07/21: I gave a talk at the High Beams seminar.

    • 11/20: I presented our work NICER at ACHI 2020.

    • 10/20: I presented my work on parallax-correct appearance decompositions at the VECG Seminar series.

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