Yağız Aksoy
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yagizaksoy.bsky.social
Yağız Aksoy
@yagizaksoy.bsky.social
Computational Photography Lab @ SFU

https://yaksoy.github.io/
No, you really do need to just linearize it :) Even if you are linearizing with the generic default gamma, it should go a long way.
October 14, 2025 at 6:00 PM
Interesting point.

The same problem with living in the sRGB space also applies to Gaussian filtering (or really any linear operation). Before you simply blur your image, or resample/resize etc., it is theoretically necessary to first linearize the image.
October 14, 2025 at 4:12 AM
Find our work on inverse rendering and illumination-aware computational photography in our group web page: yaksoy.github.io/themes/
Research Themes
Research Themes
yaksoy.github.io
August 4, 2025 at 8:38 AM
This work builds on Chris' work on intrinsic decomposition: yaksoy.github.io/ColorfulShad...
Colorful Diffuse Intrinsic Image Decomposition in the Wild
Colorful Diffuse Intrinsic Image Decomposition in the Wild
yaksoy.github.io
August 4, 2025 at 8:38 AM
You can read the paper on our project web page: yaksoy.github.io/PhysicalReli...
Physically Controllable Relighting of Photographs
Physically Controllable Relighting of Photographs
yaksoy.github.io
August 4, 2025 at 8:38 AM
Users can interactively insert different light sources including spot lights, point lights, projectors, or environmental illumination with full 3D control.

Read our press release: www.sfu.ca/fas/computin...
SFU Researchers Develop A New Tool That Brings Blender-like Lighting Control to Any Photograph
www.sfu.ca
August 4, 2025 at 8:38 AM
In this work led by Chris Careaga, we combine physically-based rendering, differentiable rendering, and neural rendering to achieve realistic relighting in any photograph in-the-wild.

Watch Chris' fancy video explainer: youtu.be/XFJCT3D8t0M
Physically Controllable Relighting of Photographs - SIGGRAPH 2025
YouTube video by Yağız Aksoy - Computational Photography Lab @ SFU
youtu.be
August 4, 2025 at 8:38 AM