• Publications
  • Influence
Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines
TLDR
We present a systematic model of the tradeoff space fundamental to stencil pipelines, a schedule representation which describes concrete points in this space for each stage in an image processing pipeline, and an optimizing compiler for Halide image processing language that synthesizes high performance implementations from a Halide algorithm and a schedule. Expand
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Learning photographic global tonal adjustment with a database of input/output image pairs
TLDR
We propose to address the problem of automatic global adjustment using supervised machine learning to learn global tonal adjustments. Expand
  • 296
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Deep Photo Style Transfer
TLDR
We introduce a deep-learning approach to photographic style transfer that is at the same time broad and faithful, i.e., it handles a large variety of image content while accurately transferring the reference style. Expand
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A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
TLDR
We propose a new signal-processing analysis of the bilateral filter, which complements the recent studies that analyzed it as a PDE or as a robust statistics estimator. Expand
  • 532
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Deep joint demosaicking and denoising
TLDR
We introduce a new data-driven approach for these challenges: we train a deep neural network on a large corpus of images instead of using hand-tuned filters. Expand
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Handling Noise in Single Image Deblurring Using Directional Filters
TLDR
We propose a new method for handling noise in blind image deconvolution based on new theoretical and practical insights. Expand
  • 175
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Local Laplacian filters: edge-aware image processing with a Laplacian pyramid
TLDR
We show state-of-the-art edge-aware processing using standard Laplacian pyramids using point-wise nonlinearities and small Gaussian convolutions; no optimization or post-processing is required. Expand
  • 243
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A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
TLDR
In this paper, we propose a new signal-processing analysis of the bilateral filter which complements the recent studies that analyzed it as a PDE or as a robust statistical estimator. Expand
  • 546
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Real-time edge-aware image processing with the bilateral grid
TLDR
We present a new data structure---the bilateral grid, that enables fast edge-aware image processing with real-time frame rates on high-definition video. Expand
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Decoupling algorithms from schedules for easy optimization of image processing pipelines
TLDR
We propose a representation for feed-forward imaging pipelines that separates the algorithm from its schedule, enabling high-performance without sacrificing code clarity. Expand
  • 213
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