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9:54 AM · Jun 6, 2026 · 7K Views
Inria and IP Paris debut MAGICIAN, using imagined 3D Gaussians to plan robotic exploration paths before physical movement
Drone and toy car tests showed reduced path redundancy.
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Sentiment
Positive users praise the MAGICIAN paper for addressing common sense and general intelligence correctly in robot active mapping, while negative users dismiss the work as overhyped and criticize related award decisions.
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Neg
50.0%
4 comments with sentiment.
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F. Güney@ftm_guney
I think this is my favorite paper this CVPR: Magician.
before they explore in active view selection, they imagine how gaussians and occupancy map would look like and then compute a coverage metric based on that. during planning, they try 10 views like that in 10 steps in a tree search with pruning and get planning for free. they even have real-world experiments with a drone and a toy car.
how are they not an award candidate, it blows my mind.
12hViews 6.9KLikes 112Bookmarks 69
Blissy@BlissyOnX
@chris_j_paxton training data and a lot of failed attempts tbh
you guys made it sound way deeper than it is
20hViews 61Likes 1
Nils@broodsugar
@chris_j_paxton Yelp reviews.
5hViews 171Likes 2
Chris von Csefalvay 🔜 CVPR26@epichrisis
I loved this poster because I saw it and I recognised the problem -- we come across it in the context of planning robotic trajectories for inspection camera carriers. What's the shortest time, best path, minimum effort, minimum risk/disruption cost with which I can get a decent walkaround of the object? I loved their solution of constructing essentially the inverse problem.
8hViews 155Likes 1
Steven Marlow@sd_marlow
@chris_j_paxton Now we are addressing priors, common sense, and "general" intelligence in the correct way.
19hViews 50
Chinmay Mundane@ChinmayMundane
@ftm_guney This year's 3d bitterness might have had a hand for not being in best paper finalist.
5hViews 40
Chris Paxton@chris_j_paxton
@BlissyOnX Yeah thats life for you
19hViews 24