https://ramdi.fr/tags/segmentation/Recent content in Segmentation 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/sam3-unet-adapting-meta-s-sam3-for-efficient-dense-prediction-with-a-lightweight-u-net-decoder/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/sam3-unet-adapting-meta-s-sam3-for-efficient-dense-prediction-with-a-lightweight-u-net-decoder/SAM3-UNet adapts Meta’s SAM3 foundation model for dense prediction tasks using a parameter-efficient adapter and U-Net decoder, enabling training under 6 GB GPU memory.https://ramdi.fr/github-stars/medical-sam3-adapting-foundation-models-for-prompt-driven-medical-image-segmentation/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/medical-sam3-adapting-foundation-models-for-prompt-driven-medical-image-segmentation/Medical-SAM3 adapts the SAM3 foundation model for universal prompt-driven medical image segmentation, offering pretrained weights and evaluation tools on diverse medical datasets.https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/Tencent’s Hunyuan3D-Part offers a two-model pipeline for 3D mesh part segmentation with P3-SAM and high-fidelity part generation via X-Part, targeting semantic mesh decomposition.