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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance. Includes a local web UI to prepare inputs, review masks, preview generations, and export with original audio.
TRI-ML Monocular Depth Estimation Repository
TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
TranslatedComfyUI Chinese human pose gallery node, supporting multi-view browsing and a Depth Anything → MOSS SFT depth control workflow
Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)