Differentiable programming for image processing and deep learning in halide
Gradient-based optimization has enabled dramatic advances in computational imaging through techniques like deep learning and nonlinear optimization. These methods require gradients not just of simple mathematical functions, but of general programs which encode complex transformations of images and g...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Association for Computing Machinery (ACM)
2019
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| Online Access: | https://hdl.handle.net/1721.1/122623 |