Adaptive Sampling - Revision history

Standingpad: Adjust gallery max height

2025-07-07T04:48:49Z

Adjust gallery max height

← Older revision		Revision as of 04:48, 7 July 2025
Line 3:		Line 3:
	Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>		Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>

	<gallery mode="packed" heights="~~500px~~">		<gallery mode="packed" heights="600px">
	File:Adaptive Sampling Example - Noisy Image.jpg\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene		File:Adaptive Sampling Example - Noisy Image.jpg\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene
	File:Adaptive Sampling Example - Heatmap Image.jpg\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that needed fewer samples to reach the threshold\|alt=Heatmap of samples for image of a forest scene		File:Adaptive Sampling Example - Heatmap Image.jpg\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that needed fewer samples to reach the threshold\|alt=Heatmap of samples for image of a forest scene

Standingpad: Change examples to gallery

2025-07-07T04:47:17Z

Change examples to gallery

← Older revision		Revision as of 04:47, 7 July 2025
Line 3:		Line 3:
	Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>		Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>

	<~~div><ul style~~="~~display: table; margin: 0 auto;~~">		<gallery mode="packed" heights="500px">
	~~<li style~~="~~display: inline-block; vertical-align: top;~~"> [[File:Adaptive Sampling Example - Noisy Image.jpg~~\|thumb\|none\|400px~~\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene~~]] </li>~~		File:Adaptive Sampling Example - Noisy Image.jpg\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene
	~~<li style="display: inline-block; vertical-align: top;"> [[~~File:Adaptive Sampling Example - Heatmap Image.jpg~~\|thumb\|none\|400px~~\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that needed fewer samples to reach the threshold\|alt=Heatmap of samples for image of a forest scene~~]] </li>~~		File:Adaptive Sampling Example - Heatmap Image.jpg\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that needed fewer samples to reach the threshold\|alt=Heatmap of samples for image of a forest scene
	</~~ul></div~~>		</gallery>

	Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>		Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>

Standingpad at 00:37, 7 July 2025

2025-07-07T00:37:34Z

← Older revision		Revision as of 00:37, 7 July 2025
Line 5:		Line 5:
	<div><ul style="display: table; margin: 0 auto;">		<div><ul style="display: table; margin: 0 auto;">
	<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Noisy Image.jpg\|thumb\|none\|400px\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene]] </li>		<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Noisy Image.jpg\|thumb\|none\|400px\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene]] </li>
	<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Heatmap Image.jpg\|thumb\|none\|400px\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that ~~finished earlier~~\|alt=Heatmap of samples for image of a forest scene]] </li>		<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Heatmap Image.jpg\|thumb\|none\|400px\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that needed fewer samples to reach the threshold\|alt=Heatmap of samples for image of a forest scene]] </li>
	</ul></div>		</ul></div>

	Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>		Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>

Standingpad at 07:04, 6 July 2025

2025-07-06T07:04:10Z

← Older revision		Revision as of 07:04, 6 July 2025
Line 4:		Line 4:

	<div><ul style="display: table; margin: 0 auto;">		<div><ul style="display: table; margin: 0 auto;">
	<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Noisy Image.jpg\|thumb\|none\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene]] </li>		<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Noisy Image.jpg\|thumb\|none\|400px\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene]] </li>
	<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Heatmap Image.jpg\|thumb\|none\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that finished earlier\|alt=Heatmap of samples for image of a forest scene]] </li>		<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Heatmap Image.jpg\|thumb\|none\|400px\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that finished earlier\|alt=Heatmap of samples for image of a forest scene]] </li>
	</ul></div>		</ul></div>

	Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>		Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>

Standingpad: Add examples with heatmap

2025-07-06T06:51:11Z

Add examples with heatmap

← Older revision		Revision as of 06:51, 6 July 2025
Line 2:		Line 2:

	Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>		Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine\|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>

			<div><ul style="display: table; margin: 0 auto;">
			<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Noisy Image.jpg\|thumb\|none\|Noisy version of a render using adaptive sampling\|alt=Noisy image of a forest scene]] </li>
			<li style="display: inline-block; vertical-align: top;"> [[File:Adaptive Sampling Example - Heatmap Image.jpg\|thumb\|none\|Heatmap demonstrating how many samples were needed to reach the noise threshold, where darker areas represent portions that finished earlier\|alt=Heatmap of samples for image of a forest scene]] </li>
			</ul></div>

	Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>		Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser\|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>

Standingpad: Create adaptive sampling page

2025-07-06T03:39:17Z

Create adaptive sampling page

New page

[[Category:Rendering]]

Adaptive sampling is an optimization technique for ray tracing in which [[Render Engine|renderers]] measure noise in the scene against a pre-defined threshold during the rendering phrase, and when met for a given area of the image, stops sampling in that area. This is based on the observation that in a given scene, certain portions of the image (such as those with flat, well-lit objects) may converge faster than other portions (such as those with more complex geometry, materials, and/or lighting).<ref>https://cs184.eecs.berkeley.edu/sp21/docs/proj3-1-part-5</ref>

Adaptive sampling works best with a high amount of fixed samples and a noise threshold that isn't low enough to not cause sampling to stop. While in theory the noise threshold could lead to more noise, when combined with [[Denoiser|denoising algorithms]], the final image quality remains mostly equal.<ref>https://tomclabault.github.io/blog/2024/per-pixel-adaptive-sampling/</ref>