Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
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.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
π Images to 3D parallax videos
Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
GTR: Gated Token Recurrence for Efficient Dense Prediction
[CORL2026] Official implementation of the paper: "OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes"
Iris-3B pixel-space text-to-image on Apple Silicon GPUs: Metal-optimized engine, native macOS app, CLI, Python and local HTTP API
ReShot β copy the shot, not the actors. Video β depth map, OpenPose skeleton or canny lines for Seedance 2.0/2.5 reference video, MiniMax H3 Fun ControlNet and Wan VACE. Apache-2.0. Open-sourced by Maosika η«ζ―ε‘ (www.maosika.com), the AI short-drama production system.
[ICML 2026] Official implementation of "PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation".
PXDepth: Pixel-Space Modeling for Structure Preserving Monocular Depth Estimation
Turn images into smooth detailed 3D bas-relief meshes
Official implementation of GeoNeXt: Video Generative Models as Geometry Learner (ECCV 2026).