From 480d41113d642c73a6557e1809c014c567b5724b Mon Sep 17 00:00:00 2001 From: CharlieZCJ Date: Tue, 8 Oct 2024 19:52:58 +0800 Subject: [PATCH 1/7] update .gitignore --- .gitignore | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.gitignore b/.gitignore index ed907305..241c0d92 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,8 @@ _site Gemfile.lock +.DS_Store +*/.DS_Store +.idea/ +/.idea/ +.DS_Store +/target/ \ No newline at end of file From afb1138bb498b642b2bba7117ba0893312df9d69 Mon Sep 17 00:00:00 2001 From: CharlieZCJ Date: Thu, 10 Oct 2024 11:54:37 +0800 Subject: [PATCH 2/7] Updating publicatiuons site. --- docs/publications/index.md | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/docs/publications/index.md b/docs/publications/index.md index abbaedb3..1e46aabb 100644 --- a/docs/publications/index.md +++ b/docs/publications/index.md @@ -2,6 +2,39 @@ ## 2024 +
+ +
+**Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions** + + + +[Chuanjun Zheng](https://scholar.google.com.hk/citations?user=9Jk_LC8AAAAJ&hl=zh-CN), +[Yicheng Zhan](https://scholar.google.com/citations?hl=zh-CN&user=x2ptSYUAAAAJ), +[Liang Shi](https://people.csail.mit.edu/liangs/), +[Ozan Cakmakci](https://scholar.google.com/citations?user=xZLjeAMAAAAJ&hl=en), +and [Kaan Akşit](https://kaanaksit.com) + +:material-web: [Project site](https://complightlab.com/publications/focal_surface_light_transport/) +:material-newspaper-variant: [Manuscript](https://kaanaksit.com/assets/pdf/ZhengEtAl_SigAsia2024_Focal_surface_holographic_light_transport_using_learned_spatially_adaptive_convolutions.pdf) +:material-newspaper-variant:[Supplementary](https://kaanaksit.com/assets/pdf/ZhengEtAl_SigAsia2024_Supplementary_Focal_surface_holographic_light_transport_using_learned_spatially_adaptive_convolutions.pdf) +:material-file-code: [Code](https://github.com/complight/focal_surface_holographic_light_transport) +??? info ":material-tag-text: Bibtex" + ``` + @inproceedings{zheng2024focalholography, + title={Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions}, + author={Chuanjun Zheng, Yicheng Zhan, Liang Shi, Ozan Cakmakci, and Kaan Ak{\c{s}}it}, + booktitle = {SIGGRAPH Asia 2024 Technical Communications (SA Technical Communications '24)}, + keywords = {Computer-Generated Holography, Light Transport, Optimization}, + location = {Tokyo, Japan}, + series = {SA '24}, + month={December}, + year={2024}, + doi={https://doi.org/10.1145/3681758.3697989} + } + ``` +
+
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[Manuscript](https://kaanaksit.com/assets/pdf/ZhengEtAl_SigAsia2024_Focal_surface_holographic_light_transport_using_learned_spatially_adaptive_convolutions.pdf) :material-newspaper-variant: [Supplementary](https://kaanaksit.com/assets/pdf/ZhengEtAl_SigAsia2024_Supplementary_Focal_surface_holographic_light_transport_using_learned_spatially_adaptive_convolutions.pdf) - -[//]: # (:material-file-code: [Code](https://github.com/complight/multicolor)) +:material-file-code: [Code](https://github.com/complight/focal_surface_holographic_light_transport) [//]: # (:material-video-account: [Project video](https://kaanaksit.com/assets/video/KavakliSigAsia2023Multicolor.mp4)) ??? info ":material-tag-text: Bibtex" - @inproceedings{kavakli2023multicolor, + @inproceedings{zheng2024focalholography, title={Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions}, - author={Chuanjun Zheng, Yicheng Zhan, Liang Shi, Ozan Cakmakci, and Kaan Akşit}, - booktitle = {SIGGRAPH Asia 2024 Technical Communications (SA Technical Communications ’24)}, + author={Chuanjun Zheng, Yicheng Zhan, Liang Shi, Ozan Cakmakci, and Kaan Ak{\c{s}}it}, + booktitle = {SIGGRAPH Asia 2024 Technical Communications (SA Technical Communications '24)}, keywords = {Computer-Generated Holography, Light Transport, Optimization}, location = {Tokyo, Japan}, series = {SA '24}, @@ -57,8 +56,8 @@ ## Abstract -Computer-Generated Holography (CGH) is a set of algorithmic methods for identifying holograms that reconstruct Three-Dimensional -scenes in holographic displays. CGH algorithms decompose 3D scenes into multiplanes at different depth levels and rely on simulations +Computer-Generated Holography (CGH) is a set of algorithmic methods for identifying holograms that reconstruct Three-Dimensional (3D) scenes +in holographic displays. CGH algorithms decompose 3D scenes into multiplanes at different depth levels and rely on simulations of light that propagated from a source plane to a targeted plane. Thus, for $n$ planes, CGH typically optimizes holograms using $n$ plane-to-plane light transport simulations, leading to major time and computational demands. Our work replaces multiple planes with a focal surface and introduces a learned light transport model that could propagate a light field from a source plane to the focal surface in a single inference. Our model leverages @@ -76,13 +75,12 @@ planes with a focal surface and introduces a learned light transport model that propagate a light field from a source plane to the focal surface in a single inference, reducing simulation time by $10x$.

      - ![Image title](media/focal_surfaec_lightprop_proposed_vs_conv.png){ width="500" } + ![Image title](media/focal_surfaec_lightprop_proposed_vs_conv.png){ width="700" }
      ## Results When simulating a full-color, all-in-focus 3D image across a focal surface, conventional -Angular Spectrum Method (ASM) requires eighteen forward -passes to simulate the 3D image with six depth planes. +Angular Spectrum Method (ASM) requires eighteen forward passes to simulate the 3D image with six depth planes given there are three color primaries. In contrast, our model simulates the three colorprimary images simultaneously onto a focal surface with a single forward pass. 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