Bokeh Effect Rendering

6 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

saikatdutta/Stacked_DMSHN_bokeh 28 May 2020

The original image and different versions of smoothed images are blended to generate Bokeh effect with the help of a monocular depth estimation network.

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

qianmingduowan/AIM2020-bokeh-BGNet 4 Nov 2020

A photo captured with bokeh effect often means objects in focus are sharp while the out-of-focus areas are all blurred.

Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image

saikatdutta/Stacked_DMSHN_bokeh 15 May 2021

Most of the existing methods utilized additional sensor's data or pretrained network for fine depth estimation of the scene and sometimes use portrait segmentation pretrained network module to segment salient objects in the image.

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

algolzw/image-restoration-sde 17 Apr 2023

This work aims to improve the applicability of diffusion models in realistic image restoration.

Efficient multi-lens bokeh effect rendering and transformation

mv-lab/AISP CVPR 2023

Our method can render Bokeh from an all-in-focus image, or transform the Bokeh of one lens to the effect of another lens without harming the sharp foreground regions in the image.

Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report

Glass-Imaging/NTIRE23BokehTransformation CVPRW 2023

We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge.