Paul-Edouard Sarlin

@pesarlin

Researcher at @Google, 3D computer vision & machine learning. Previously PhD at ETH Zurich, intern at @Google, @Meta, @Microsoft, @magicleap.

Zurich, Switzerland

psarlin.com

Joined January 2019

Pinned
Paul-Edouard Sarlin
@pesarlin
Sep 24, 2024
Introducing GeoCalib for camera calibration: gravity & intrinsics from a single image 📸 ➡️Differentiable geometry optimization FTW! ➡️Video youtu.be/uOmTwvKreM4 ➡️Demo veichta-geocalib.hf.space ➡️Paper arxiv.org/pdf/2409.06704 by @veichta with @PhilippCSE @mapo1 for #ECCV2024 1/
GIF
Paul-Edouard Sarlin
@pesarlin
Jun 7
Yes please! Open science FTW
Andrea Tagliasacchi
@taiyasaki
Jun 7
📢📢📢 @CVPR motion proposal on best paper awards. Motion: Eligibility for Best Paper Awards shall require the public release of both source code and model weights.
Paul-Edouard Sarlin
@pesarlin
Jun 6
Where is the code? No code, no public API, private datasets, too little details to reproduce = low impact. What does the award committee value?
#CVPR2026
@CVPR
Jun 5
Announcing the official #CVPR2026 Best Paper Award Winner! 🏆 Congratulations to the authors for their landmark contributions to the field!👏👏
Paul-Edouard Sarlin
@pesarlin
Jun 2
Excited to be at #CVPR2026 this week 🤩 Catch me for 3 workshop talks: ➡️ E2E 3D learning, Wed PM ➡️ Image matching, Thur PM Expect 🌶️ takes on learning/geometry and preview of new work. ➡️ EarthVision, Thur AM (+poster) about UniGeoCLIP, our latest work on geospatial learning.
Paul-Edouard Sarlin
@pesarlin
May 15
Camera pose estimation is solved when one controls the hardware and can afford multiple cameras/IMUs. Examples: Google StreetView, Meta Aria, robotics (IMUs are so cheap). Monocular SLAM (no IMU) isn’t solved but has limited practical relevance, mostly internet/historical videos.
Andrea Tagliasacchi
@taiyasaki
May 13
This is why I refuse to work on camera estimation problems. For embodied AI, I consider it a **solved** problem at large – there are better things to spend your time on. It's only a "problem" in academia.