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Universidade de São Paulo
- https://www.linkedin.com/in/andre-oliveira-francani/
Stars
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how t…
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Release repo for our SLAM Handbook
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion (ICCV 2025)
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
[CVPR 2025] Official implementation of the paper "SmartEraser: Remove Anything from Images using Masked-Region Guidance".
[ICLR 2025] Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.
Scene-Centric Unsupervised Panoptic Segmentation (CVPR 2025 Highlight)
A Monocular depth-estimation for in-the-wild AutoFocus application.
ErcBunny / open_vins
Forked from rpng/open_vins[TUD AE4270] SuperPoint & SuperGlue on OpenVINS
[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments
Python package for the evaluation of odometry and SLAM
The implementation of the approach from the FRUCT Conference Paper "Transformer-Based Deep Monocular Visual Odometry for Edge Devices"
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Pytorch version of SfmLearner from Tinghui Zhou et al.
An Implementation of DeepVO with CNN / CNN-LSTM
PyTorch port (inference only) of the paper "SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping" [CVPR 2021].
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
User-friendly, commercial-grade software for processing aerial imagery.