<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3d on Noureddine RAMDI</title><link>https://ramdi.fr/tags/3d/</link><description>Recent content in 3d on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/3d/index.xml" rel="self" type="application/rss+xml"/><item><title>DualSDF: A two-level signed distance function approach for semantic 3D shape manipulation</title><link>https://ramdi.fr/github-stars/dualsdf-a-two-level-signed-distance-function-approach-for-semantic-3d-shape-manipulation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dualsdf-a-two-level-signed-distance-function-approach-for-semantic-3d-shape-manipulation/</guid><description>DualSDF separates coarse semantic structure from fine geometric detail in 3D shape modeling using a two-level signed distance function. It enables intuitive shape edits with pretrained models and a WebGL demo.</description></item><item><title>Exploring sdf: a Python library for 3D mesh generation with signed distance functions</title><link>https://ramdi.fr/github-stars/exploring-sdf-a-python-library-for-3d-mesh-generation-with-signed-distance-functions/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-sdf-a-python-library-for-3d-mesh-generation-with-signed-distance-functions/</guid><description>sdf is a Python library that generates 3D meshes from signed distance functions using operator overloading for intuitive constructive solid geometry. It’s fast, minimal, and versatile.</description></item><item><title>Tencent HY-World 2.0: multi-modal pipeline for persistent, editable 3D world generation</title><link>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</guid><description>Tencent&amp;rsquo;s HY-World 2.0 generates persistent 3D assets from text, images, or video using a four-stage pipeline. It outputs editable worlds compatible with Blender, Unity, and Unreal Engine.</description></item><item><title>Exploring Three.js morph target resizing in a React 3D room designer</title><link>https://ramdi.fr/github-stars/exploring-three-js-morph-target-resizing-in-a-react-3d-room-designer/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-three-js-morph-target-resizing-in-a-react-3d-room-designer/</guid><description>This repo combines a 2D floor plan editor with a 3D room configurator using React and Three.js, featuring morph target-based model resizing for realistic product configuration.</description></item><item><title>StereoWorld: stereo vision-based 3D-consistent video generation from binocular inputs</title><link>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</guid><description>StereoWorld uses binocular stereo vision cues to guide 3D-consistent stereo video generation, offering a biologically inspired approach to scene geometry understanding.</description></item><item><title>3dsvg: client-side SVG extrusion to interactive 3D scenes with React Three Fiber</title><link>https://ramdi.fr/github-stars/3dsvg-client-side-svg-extrusion-to-interactive-3d-scenes-with-react-three-fiber/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/3dsvg-client-side-svg-extrusion-to-interactive-3d-scenes-with-react-three-fiber/</guid><description>3dsvg extrudes SVG paths into 3D scenes using React Three Fiber, with a Next.js editor rendering the same components for WYSIWYG parity and client-side export to PNG, video, and 3D models.</description></item><item><title>ComfyUI Trellis2: Extending ComfyUI with Dinov3 for 3D-Aware Diffusion Workflows</title><link>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</guid><description>ComfyUI-Trellis2 integrates facebook&amp;rsquo;s Dinov3 model into ComfyUI for advanced 3D-aware diffusion workflows. This article breaks down its architecture, strengths, and installation steps.</description></item><item><title>Exploring devanshutak25/3d-resources: an AI-curated catalog for 3D artists</title><link>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</guid><description>devanshutak25/3d-resources is a curated catalog of free and paid 3D assets and tools, assembled with AI assistance to support diverse 3D workflows across major DCCs like Blender and Unreal Engine.</description></item><item><title>SceneMaker: a decoupled framework for 3D scene generation with de-occlusion</title><link>https://ramdi.fr/github-stars/scenemaker-a-decoupled-framework-for-3d-scene-generation-with-de-occlusion/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/scenemaker-a-decoupled-framework-for-3d-scene-generation-with-de-occlusion/</guid><description>SceneMaker separates de-occlusion from 3D object generation to handle occluded open-set scenes. It uses FLUX Kontext and Step1X-3D, with code and checkpoints available.</description></item><item><title>SimRecon: compositional 3D scene reconstruction with viewpoint optimization and semantic graph synthesis</title><link>https://ramdi.fr/github-stars/simrecon-compositional-3d-scene-reconstruction-with-viewpoint-optimization-and-semantic-graph-synthesis/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/simrecon-compositional-3d-scene-reconstruction-with-viewpoint-optimization-and-semantic-graph-synthesis/</guid><description>SimRecon converts real-world videos into simulation-ready 3D scenes by combining geometry reconstruction, instance segmentation, viewpoint optimization, and semantic scene graph synthesis.</description></item><item><title>Tencent Hunyuan3D-Part: a two-stage pipeline for semantic 3D mesh part segmentation and generation</title><link>https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tencent-hunyuan3d-part-a-two-stage-pipeline-for-semantic-3d-mesh-part-segmentation-and-generation/</guid><description>Tencent&amp;rsquo;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.</description></item><item><title>WorldGrow: Hierarchical infinite 3D world synthesis with block-wise growth and coarse-to-fine refinement</title><link>https://ramdi.fr/github-stars/worldgrow-hierarchical-infinite-3d-world-synthesis-with-block-wise-growth-and-coarse-to-fine-refinement/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/worldgrow-hierarchical-infinite-3d-world-synthesis-with-block-wise-growth-and-coarse-to-fine-refinement/</guid><description>WorldGrow generates infinite 3D worlds via hierarchical block-wise synthesis with coarse-to-fine refinement, ensuring seamless, explorable environments for navigation and planning tasks.</description></item><item><title>glTF-Sample-Assets: a curated collection of glTF models for 3D development and testing</title><link>https://ramdi.fr/github-stars/gltf-sample-assets-a-curated-collection-of-gltf-models-for-3d-development-and-testing/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/gltf-sample-assets-a-curated-collection-of-gltf-models-for-3d-development-and-testing/</guid><description>glTF-Sample-Assets offers a curated set of 3D models in glTF format, organized for testing and showcasing glTF capabilities. Essential for 3D developers and artists.</description></item></channel></rss>