Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Michael Gharbi"'
Autor:
Karima Ma, Michael Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
Publikováno v:
ACM Transactions on Graphics. 41:1-18
We present a method to automatically synthesize efficient, high-quality demosaicking algorithms, across a range of computational budgets, given a loss function and training data. It performs a multi-objective, discrete-continuous optimization which s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0067490c0e632590d9779f95c1565ad0
https://doi.org/10.1145/3508461
https://doi.org/10.1145/3508461
Autor:
Sai Praveen Bangaru, Michael Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Fredo Durand
We present a method to automatically compute correct gradients with respect to geometric scene parameters in neural SDF renderers. Recent physically-based differentiable rendering techniques for meshes have used edge-sampling to handle discontinuitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03ecc149c2b838d44e525710ac775896
http://arxiv.org/abs/2206.05344
http://arxiv.org/abs/2206.05344
Autor:
Ishit Mehta, Michael Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker
Multi-Layer Perceptrons (MLPs) make powerful functional representations for sampling and reconstruction problems involving low-dimensional signals like images,shapes and light fields. Recent works have significantly improved their ability to represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73689d1bd10389b7fa9107f884041be
http://arxiv.org/abs/2104.03960
http://arxiv.org/abs/2104.03960