
BlenderAe2
by Salt Media
BlenderAe2 by Salt Media transfers 3D data and objects between Blender and After Effects in both directions, covering vertices, 3D layer transforms, camera data and layer synchronization.
by Marco Sibaldi·Workflow
Images © Marco Sibaldi. Used for product review; image policy.
Earns its place in the superhive library as part of the PCM – Point Cloud Modeling suite, pairing with PCM_Core to bring point cloud cleaning and optimization into Blender.
PCM_Clean is a professional point cloud cleaning and optimization add-on for Blender, aimed at architects, surveyors and LiDAR professionals. It requires the PCM_Core plugin to function and forms part of the PCM – Point Cloud Modeling suite, which brings point cloud processing tools inside Blender for architecture, BIM modeling and digital surveying.
Raw scans generated by LiDAR and SLAM devices often carry noise, redundant points and unnecessary data. PCM_Clean addresses this with a multi-step cleaning pipeline designed for architectural and surveying workflows. Statistical noise removal, clustering algorithms that isolate structures and voxel simplification reduce point density while maintaining the original geometry.
A typical pass runs through PCM_Core for import, then selecting a region of interest, statistical filtering to remove noise, clustering to isolate structures and voxel reduction to simplify. From there you continue modeling or export the cleaned data. The add-on integrates directly inside Blender and works with PCM_Core across the workflow.
Pcm_Clean - Advanced Point Cloud Cleaning & Optimization is best for architects, surveyors and LiDAR professionals cleaning and optimizing point clouds for modeling and BIM workflows in Blender.
Pcm_Clean - Advanced Point Cloud Cleaning & Optimization is completely free to download and use.
PCM_Clean requires the PCM_Core plugin to function, so PCM_Core must be installed alongside it. The two are designed to work together: PCM_Core handles point cloud import and visualization, while PCM_Clean covers cleaning and optimization. In a typical pass you import the point cloud through PCM_Core, then use PCM_Clean to remove noise, isolate structures and simplify the data. Both belong to the PCM – Point Cloud Modeling suite, and you can find PCM_Core on the developer's page.
PCM_Clean is built for Blender 5.0 and is listed as Blender Extension compatible, distributed as an add-on. The render engines noted for it are Cycles and Eevee. It integrates directly inside Blender and works with PCM_Core across the workflow, from import through cleaning and optimization. For exact setup steps and the latest compatibility details, check the developer's page before installing.
PCM_Clean uses a multi-step cleaning pipeline designed for architectural and surveying workflows. It offers statistical noise removal to strip out noise, clustering algorithms to isolate structures, and voxel simplification to reduce point density while maintaining the original geometry. A typical run starts by importing through PCM_Core and selecting a region of interest, then applies statistical filtering, clustering and voxel reduction in turn. Once the point cloud is cleaned, you can continue modeling or export the data.
PCM_Clean is listed as free in this catalog, and it is distributed under the GPL license. Because licensing and pricing can change, check the developer's page for the current terms before you download. Keep in mind that PCM_Clean requires the separate PCM_Core plugin to function, so factor that into your setup. PCM_Clean is part of the PCM – Point Cloud Modeling suite for Blender.

by Salt Media
BlenderAe2 by Salt Media transfers 3D data and objects between Blender and After Effects in both directions, covering vertices, 3D layer transforms, camera data and layer synchronization.

by MACHIN3
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by MikhailRachinskiy
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by HaughtyGrayAlien
SimpleBake brings PBR and traditional texture baking to Blender from a single panel. Select objects, choose maps, and bake — no special node groups or new workflow, working with whatever materials you've already built.