Methods › Computer Vision › Image Representations › Bilateral Grid

Bilateral Grid

11 papers tagged archive 2025-07-28

Introduced by Michaël Gharbi et al. in Deep Bilateral Learning for Real-Time Image Enhancement

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Bilateral grid is a new data structure that enables fast edge-aware image processing. It enables edge-aware image manipulations such as local tone mapping on high resolution images in real time.

Source: Chen et al.

Image source: Chen et al.

PaperSource

Papers archive 2025-07-28

11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 41 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
4k2
GPU2
Image Enhancement2
Image Retouching2
NeRF2
Semantic Segmentation2
8k1
Autonomous Driving1
Autonomous Vehicles1
Blind Super-Resolution1
Contrastive Learning1
Data Visualization1
Depth Estimation1
Depth Prediction1
Diversity1
Exposure Correction1
Feature Engineering1
Feature Importance1
Image Augmentation1
Image Classification1

Usage over time archive 2025-07-28

Papers per year tagged with Bilateral Grid: 2017 to 2025, peak 3 3 0 2017: 2 papers 2017 2018: 0 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 2 papers 2021 2022: 1 paper 2022 2023: 2 papers 2023 2024: 3 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (11 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Image Representations

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