https://ramdi.fr/tags/3d-reconstruction/Recent content in 3d-Reconstruction on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/3d-re-gen-reconstructing-editable-3d-indoor-scenes-from-a-single-photo-with-multi-model-ai-orchestration/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/3d-re-gen-reconstructing-editable-3d-indoor-scenes-from-a-single-photo-with-multi-model-ai-orchestration/3D-RE-GEN reconstructs complete editable 3D indoor scenes from a single RGB photo. It integrates SAM, Hunyuan3D-2.0, and VGGT models in a modular Python pipeline.https://ramdi.fr/github-stars/fast3r-scalable-multi-view-3d-reconstruction-with-a-single-forward-pass/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/fast3r-scalable-multi-view-3d-reconstruction-with-a-single-forward-pass/Fast3R from Meta FAIR processes 1000+ unordered images simultaneously for 3D reconstruction using a ViT-Large backbone and multi-view attention, eliminating iterative matching.https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/MASt3R-SLAM integrates a pretrained 3D reconstruction model as a geometry prior in a dense SLAM pipeline, enabling real-time tracking and mapping without classical bundle adjustment or depth sensors.https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/Matrix-3D generates explorable 360-degree 3D worlds from text or images using panoramic video and 3D Gaussian splatting, optimized to run on 12-19GB VRAM consumer GPUs.https://ramdi.fr/github-stars/streaming-3d-scene-reconstruction-with-lingbot-maps-geometric-context-transformer/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/streaming-3d-scene-reconstruction-with-lingbot-maps-geometric-context-transformer/LingBot-Map performs streaming 3D reconstruction from long image sequences at ~20 FPS using a geometric context transformer and paged KV cache attention for efficient memory management.https://ramdi.fr/github-stars/cupid-feed-forward-3d-reconstruction-with-joint-camera-pose-estimation-from-single-images/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/cupid-feed-forward-3d-reconstruction-with-joint-camera-pose-estimation-from-single-images/Cupid is a feed-forward 3D reconstruction model that jointly estimates camera pose and reconstructs 3D objects from single 2D images, outputting textured 3D meshes and radiance fields in seconds.https://ramdi.fr/github-stars/mv-sam3d-entropy-weighted-multi-view-fusion-for-3d-object-reconstruction/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/mv-sam3d-entropy-weighted-multi-view-fusion-for-3d-object-reconstruction/MV-SAM3D extends SAM 3D Objects with entropy-based multi-view fusion and optional pose optimization for more stable and consistent 3D object reconstruction across scenes.https://ramdi.fr/github-stars/nas3r-self-supervised-3d-reconstruction-and-camera-pose-estimation-with-gaussian-splatting/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/nas3r-self-supervised-3d-reconstruction-and-camera-pose-estimation-with-gaussian-splatting/NAS3R enables self-supervised 3D geometry and camera parameter estimation without ground-truth data, using Gaussian splatting and a VGGT backbone. It supports multi-view setups and optional pretrained initialization.https://ramdi.fr/github-stars/nova3r-non-pixel-aligned-visual-transformer-for-amodal-3d-reconstruction-from-unposed-multi-view-images/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/nova3r-non-pixel-aligned-visual-transformer-for-amodal-3d-reconstruction-from-unposed-multi-view-images/NOVA3R implements a non-pixel-aligned visual transformer for amodal 3D reconstruction from unposed multi-view images, recovering occluded geometry with physical plausibility.