EveryPoint

Subscribers 9.8K

Videos 55

Views 869.5K

Channels Like EveryPoint

EveryPoint covers world-class 3D reconstruction and photogrammetry topics, focusing on extracting intelligence from imagery and generating clean point clouds from various image sources. The channel leans toward tutorials, deep-dives, and technical explorations (e.g., COLMAP, Gaussian splatting, implicit neural representations) with occasional long-form talks and workshops. It uploads about 0.1 videos per week and averages around 5.8K views per video, with a subscriber base of 9.8K and total views of 869.5K.

AI summary

Similar Channels

We found 43 YouTube channels similar to EveryPoint

#1

Kevin Wood | Robotics & AI

83% relevance

Subscribers 63.2K

Videos 1K

Views 14.0M

Appearances 9

SERP 99%

Similarity 72%

3d reconstruction image-based 3d reconstruction depth maps computer vision

They align with EveryPoint on 3D reconstruction and depth-map related searches (queries: 3d reconstruction, image-based 3d reconstruction, depth maps) and share a similar audience interested in computer vision, though Kevin Wood’s content uses a broader robotics/AI focus (83% match with high search but 72% content similarity).

AI summary

#2

3D Print Dood view on YouTube

83% relevance

Subscribers 75.7K

Videos 379

Views 14.2M

Appearances 9

SERP 100%

Similarity 71%

photo to 3d 3d model from photos 3d mapping from images

They target the same audience with photo-to-3D and 3D modeling from images (queries: photo to 3d, 3d model from photos, 3d mapping from images) and have strong search overlap, but their content centers more on practical 3D printing workflows (83% match; search 100%, content 71%).

AI summary

#3

A.I. by Sander

77% relevance

Subscribers 5.0K

Videos 10

Views 412.3K

Appearances 4

SERP 79%

Similarity 75%

photo to 3d 3d model from photos 3d mapping from images

Shares the exact theme of turning photos into 3D models and photo-to-3D workflows (queries: photo to 3d, 3d model from photos, 3d mapping from images), with substantial audience overlap though Sander’s content style may differ (77% match; search 79%, content 75%).

AI summary

#4

Florent Poux

75% relevance

Subscribers 11K

Videos 148

Views 655.7K

Appearances 7

SERP 67%

Similarity 81%

2d to 3d reconstruction point cloud generation segmenting point clouds

Addresses 2D-to-3D reconstruction, point cloud generation, and point cloud segmentation (queries: 2d to 3d reconstruction, point cloud generation, segmenting point clouds), mirroring EveryPoint’s 3D reconstruction focus while leaning more into point clouds (75% match; search 67%, content 81%).

AI summary

#5

First Principles of Computer Vision

74% relevance

Subscribers 92K

Videos 151

Views 7.5M

Appearances 7

SERP 70%

Similarity 77%

structure from motion multi-view stereo depth maps computer vision

Covers structure from motion, multi-view stereo, and depth maps, aligning with EveryPoint’s core CV reconstruction topics (queries: structure from motion, multi-view stereo, depth maps computer vision) though with broader educational framing (74% match; search 70%, content 77%).

AI summary

#6

Gleb Alexandrov

74% relevance

Subscribers 241K

Videos 435

Views 19.4M

Appearances 8

SERP 78%

Similarity 71%

photo to 3d 3d model from photos photogrammetry workflow

Centers on photogrammetry workflows and turning photos into 3D models, overlapping on the same search terms (queries: photo to 3d, 3d model from photos, photogrammetry workflow) with Gleb’s high-education/tutorial style (74% match; search 78%, content 71%).

AI summary

Content Landscape

Top competitors include Kevin Wood | Robotics & AI (83% match) with 63.2K subscribers and 3d reconstruction/depth map queries, 3D Print Dood (83% match) with 75.7K subscribers focusing on photo-to-3D and 3D modeling from images, and A.I. by Sander (77% match) with 5K subscribers also targeting photo-to-3D and 3D mapping. Florent Poux (75% match) and First Principles of Computer Vision (74% match) also overlap on point cloud generation, depth maps, and structure-from-motion topics. These competitors share overlapping search queries like 3d reconstruction, image-based 3d reconstruction, photo to 3d, and depth maps computer vision. EveryPoint has a smaller subscriber base compared to these channels, which range from 5K to 75K+ subscribers, while all competitors address similar technical topics through tutorials, guides, and deep-dives.

AI summary

Video Highlights

Didn't Make the Cut

37 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	69%	dronegenuity	73%	16.5K	64%	4
#8	66%	3D Forensics	83%	22.1K	40%	4
#9	63%	Stanford Computational Imaging Lab	81%	4.7K	35%	2
#10	62%	ComputerVisionFoundation Videos	81%	44.8K	33%	7
#11	61%	PhenoRob	69%	1.9K	51%	4
#12	61%	CVRP Lab at NUS	82%	3.8K	30%	2
#13	61%	Cyrill Stachniss	79%	63.1K	34%	8
#14	60%	Ultralytics	72%	24.3K	42%	5
#15	60%	SU Lab UC San Diego	76%	1.6K	35%	2
#16	59%	Nicolai Nielsen	74%	126K	37%	8
#17	59%	SmartGeometry	80%	1.9K	27%	2
#18	59%	World Labs	79%	7.6K	28%	2
#19	58%	3DCrash	76%	29.1K	32%	5
#20	58%	2d3d.ai	76%	3.1K	30%	2
#21	58%	pwnisher	73%	1.4M	35%	5
#22	58%	GIS Resources	71%	2.0K	38%	3
#23	57%	Vision Miner	77%	58.8K	27%	2
#24	57%	MATLAB	72%	595K	34%	3
#25	57%	IndividualKex	79%	102K	23%	3
#26	57%	Bad Decisions Studio	74%	275K	30%	1
#27	56%	Computerphile	75%	2.6M	28%	3
#28	56%	The Drone Life	71%	32K	33%	3
#29	55%	FloatyMonkey	76%	50.7K	24%	1
#30	55%	Geopop, everyday science	71%	55.5K	30%	1
#31	55%	Peter Falkingham	71%	1.0K	30%	1
#32	55%	Viz Life Studio	72%	1.2K	29%	2
#33	55%	Product Design Online	66%	376K	37%	2
#34	54%	Dragonfly	73%	3.7K	24%	1
#35	54%	UFLY UAS	74%	7.0K	23%	6
#36	53%	New Machina	73%	11.2K	24%	1
#37	53%	re4ee	73%	6.1K	24%	1
#38	52%	Drone Launch Academy	66%	30.9K	31%	2
#39	51%	Reality Fakers	70%	26.4K	23%	4
#40	51%	Dylan Gorman	69%	144K	24%	3
#41	51%	Wes Bos	68%	220K	24%	1
#42	50%	Alixyz	68%	5.7K	24%	1
#43	49%	DJI Academy	63%	11.9K	27%	2

Search Queries Used

3d reconstruction image-based 3d reconstruction photo to 3d structure from motion multi-view stereo colmap tutorial openmvg tutorial gaussian splatting implicit neural representation depth maps computer vision scene reconstruction techniques 3d scanning tips photogrammetry basics 2d to 3d reconstruction point cloud generation 3d model from photos photogrammetry workflow dense point cloud surface reconstruction sparse to dense multi view reconstruction texture mapping 3d camera calibration 3d mapping from images reconstruction software guide photogrammetry tips 3d model from imagery drone photogrammetry basics image alignment 3d 3d model refinement mesh generation from points geospatial 3d reconstruction depth map to model segmenting point clouds urban 3d reconstruction

Frequently Asked Questions

Which YouTube channels are most similar to EveryPoint?

EveryPoint's biggest competitors on YouTube are Kevin Wood | Robotics & AI (63.2K subscribers, 83% match) and 3D Print Dood (75.7K subscribers, 83% match). A.I. by Sander is also a competitor with 5K subscribers and a 77% match. They share a focus on photogrammetry, 3D reconstruction, and AI-driven 3D tech similar to EveryPoint.

What type of content does EveryPoint make?

EveryPoint creates content about photogrammetry, spatial computing, 3D modeling, and computer vision, as evidenced by video titles like The Evolution of Image Based 3D Reconstruction and 3D Gaussian Splatting Explained. They upload about 0.1 videos per week, with an average video view count of about 5.8K.

How do we determine which channels are similar to EveryPoint?

We analyze EveryPoint's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

Analyze Another Channel

Discover similar channels for any YouTube creator

Channels Like EveryPoint

Similar Channels

Is this your YouTube channel?

Content Landscape

Video Highlights

Didn't Make the Cut

Search Queries Used

Frequently Asked Questions

Analyze Another Channel