Top Tweets for #3DComputerVision
🦄 Spyne is hiring Applied Research Engineer
🌇 Gurugram
💪 #AI #Machine Learning #python #generativeai #ai #3dcomputervision #pytorch
#tech #softwareengineer #jobs
https://t.co/xucuqvdqOX
🚀 DARB-Splatting just got an upgrade!
We’ve updated the codebase and submodules to make reproducing results and experimenting with DARB functions faster, easier, and more efficient.
https://t.co/ItYbOzt7p8
#3DComputerVision #3DGS #ResearchSoftware #DARB_Splatting #WACV2026
There’s a certain elegance in seeing geometry, algebra, and data come together in 3D reconstruction. When a network maps raw point clouds to meaningful shapes, it’s a reminder that math can make sense of messy reality 🤔 #3DComputerVision #ItzikThoughtLoop
A good 3D reconstruction feels like solving a clean puzzle—when the mesh fits the point cloud just right, the structure is both practical and satisfying. Geometric deep learning lets us find that fit more often. 🤔 #3DComputerVision #ItzikThoughtLoop
Visualizing point clouds is like putting together a jigsaw puzzle with half the pieces missing—hard to see the big picture when so much geometry is invisible 🤔 #3DComputerVision #ItzikThoughtLoop
3D shape analysis and point cloud learning are helping robots handle complex tasks like sorting objects in warehouses or assisting in precision farming. When algorithms understand geometry, new tools for real work become possible 🤖💡 #3DComputerVision #ItzikThoughtLoop
There’s something satisfying when a geometric deep learning model captures a complex 3D shape using just a cloud of points and a few well-chosen functions. Good math, good data, and it actually works. 🤔 #3DComputerVision #ItzikThoughtLoop
How can we make 3D shape analysis more robust for cluttered construction sites or busy factories? Real-world scenes are never as clean as our benchmark datasets 🤔 #3DComputerVision #ItzikThoughtLoop
Visualizing 3D point clouds gets messy fast—occlusions, clutter, and lack of clear structure can hide important errors. Interactive tools and better rendering matter as much as your network architecture 🤔 #3DComputerVision #ItzikThoughtLoop
How much does geometric intuition help when designing neural networks for 3D shape analysis? Sometimes, understanding the structure of point clouds or meshes gives better solutions than just adding layers 💡 #3DComputerVision #ItzikThoughtLoop
Balancing perception and computation in 3D vision is always a trade-off: richer point cloud data improves understanding, but processing it pushes our algorithms to the limit. Finding that balance is where practical solutions emerge. 🤔 #3DComputerVision #ItzikThoughtLoop
Visualizing 3D point clouds and meshes is often trickier than building the models themselves—missing context, occlusions, and artifacts can hide issues in shape analysis. Careful visualization is as important as any experiment. 🎨🔬 #3DComputerVision #ItzikThoughtLoop
#recommendedreading
💫 Near Real-Time 3D Reconstruction of Construction Sites Based on Surveillance Cameras by Aoran Sun, Xuehui An, Pengfei Li, Miao Lv and Wenzhe Liu
🔗 Read for free at: https://t.co/ktTTzYT6vj
#3Dcomputervision
#pointcloudregistration
Tsinghua University
🔓 Code is open! Try it out or test your own 3DGS pipelines:
💻 https://t.co/2UVC1UAYdl
📄 Paper: https://t.co/yxJwYtKa4Q
📬 DM us if you’d like to chat at ICLR!
#ICLR2025 #3DGS #GaussianSplatting #AdversarialML #DoS #3DComputerVision #MLSecurity #TrustworthyAI #AISecurity
At the #ELLISProgram 3D Vision & Graphics Workshop, researchers debated the rise of generative models vs. the enduring value of explicit 3D representations.
From Gaussian Splatting to feedforward 3D prediction—see the insights. https://t.co/iB0TvhICHv
#3DComputerVision #Graphics
@BMW @BMW_Lebanon Dr. Anthony Yaghi, student and engineer, explores how #AI and #3Dcomputervision are shaping the digital factories of the future.
@LAUengineering @BMW @BMW_Lebanon Dr. Anthony Yaghi, student and engineer, explores how #AI and #3Dcomputervision are shaping the digital factories of the future.
I just published KeypointNeRF: A New Approach to 3D Motion Capture Using Neural Radiance Fields
#3DComputerVision #NeuralRadianceFields #DeepLearning #ComputerVision
https://t.co/DatSeC6lAj
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