%0 Conference Paper %1 LuoDefucsEstimation %A Luo, Xianrui %A Peng, Juewen %A Xian, Ke %A Wu, Zijin %A Cao, Zhiguo %B Computer Vision -- ECCV 2020 Workshops %C Cham %D 2020 %E Bartoli, Adrien %E Fusiello, Andrea %I Springer International Publishing %K cv_bokehseminar %P 245--261 %T Bokeh Rendering from Defocus Estimation %X In this paper, we study realistic bokeh rendering from a single all-in-focus image. Existing computational bokeh rendering methods generate bokeh effects by adding a simple flat background blur. As a result, the rendering results are different from the real bokeh on DSLR cameras. To address this issue, we propose a multi-stage network to learn shallow depth-of-field from a single bokeh-free image. In particular, our network consists of four modules: defocus estimation, radiance, rendering, and upsampling. The four modules are trained on different sizes to learn global features as well as local details around the boundaries of in-focus objects. Experimental results show that our approach is capable of rendering a pleasing distinctive bokeh effect in complex scenes. %@ 978-3-030-67070-2

@inproceedings{LuoDefucsEstimation, abstract = {In this paper, we study realistic bokeh rendering from a single all-in-focus image. Existing computational bokeh rendering methods generate bokeh effects by adding a simple flat background blur. As a result, the rendering results are different from the real bokeh on DSLR cameras. To address this issue, we propose a multi-stage network to learn shallow depth-of-field from a single bokeh-free image. In particular, our network consists of four modules: defocus estimation, radiance, rendering, and upsampling. The four modules are trained on different sizes to learn global features as well as local details around the boundaries of in-focus objects. Experimental results show that our approach is capable of rendering a pleasing distinctive bokeh effect in complex scenes.}, added-at = {2022-12-18T09:40:09.000+0100}, address = {Cham}, author = {Luo, Xianrui and Peng, Juewen and Xian, Ke and Wu, Zijin and Cao, Zhiguo}, biburl = {https://www.bibsonomy.org/bibtex/2d2c28f0fa370d9efa2b855d2f22c0410/t_seizinger}, booktitle = {Computer Vision -- ECCV 2020 Workshops}, description = {Bokeh Rendering from Defocus Estimation | SpringerLink}, editor = {Bartoli, Adrien and Fusiello, Andrea}, interhash = {938e56de1576f0fd0c003935f2156388}, intrahash = {d2c28f0fa370d9efa2b855d2f22c0410}, isbn = {978-3-030-67070-2}, keywords = {cv_bokehseminar}, pages = {245--261}, publisher = {Springer International Publishing}, timestamp = {2022-12-18T09:40:09.000+0100}, title = {Bokeh Rendering from Defocus Estimation}, year = 2020 }