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🚀 Excited to share our @CVPR paper on reconstructing mesh-based 3D scenes from a single 2D image, in collaboration with researchers from UCSD @UCSD and Lambda @LambdaAPI . 📄 PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction 📄Paper: arxiv.org/abs/2603.05888 💻Page: mlpc-ucsd.github.io/PixARMes… ⚙️Code: github.com/mlpc-ucsd/PixARMe… 🖼️ Can we reconstruct a complete mesh-based 3D indoor scene from just a single RGB image? This is fundamentally hard: 👀 Only partial observations 🫥 Heavy occlusion & missing geometry 📐 Ambiguous depth & scene layout Most prior approaches rely on: ❌ Implicit representations (e.g., SDFs) ❌ Multi-stage optimization pipelines ❌ Post-hoc layout refinement PixARMesh takes a different route: ⚡ Directly generates native 3D meshes autoregressively 🏠 Jointly predicts scene layout object geometry in a unified model 🎯 Produces coherent, compact, artist-ready meshes in a single forward pass Extensive experiments validate the effectiveness of our design and highlight autoregressive mesh generation as a promising 2D-to-3D reconstruction method. Congratulations to the amazing collaborators: Xiang Zhang, Sohyun Yoo, Hongrui Wu, @jianwen_xie @chuanli11, Zhuowen Tu @mlpcucsd . #3DVision #ComputerVision #LLM #AutoregressiveModels #GenerativeAI #2DTo3D #MeshGeneration #SceneReconstruction #CVPR #ECCV #Neurips
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نرحب بالمبدع إبراهيم الهتاري! اسم المشروع "Mesh Magic" مولد تدرّجات Mesh بتصميم جميل وتجربة استخدام سهلة ✨ #background #backgroundgradients #backgroundimage #gradient #meshgeneration #nuxt4 #shadcn #vue3 #yemenopensource رابط المشروع github.com/Hetari/mesh-magic @hetaridev
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Go deeper. Bismuth crystals grow in perfect mathematical staircases, each terrace forming at exactly 90° as the molten metal cools from the outside in. This was created using Amara's mesh generator to produce a 3D object, then restyled using AI video-to-video. The mesh gives the video model accurate 3D geometry to work with, so what you're seeing is structurally coherent digital art, not hallucinated motion. #MeshGeneration #3DArt #NaturesMathematics
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4 Sep 2025
🚀 From concept to grid in a day! Structured mesh of a two-stage-to-orbit launcher using NASA-inspired GridPro. ✔️ Smooth, orthogonal meshes ✔️ Reusable topology templates ✔️ Faster design iterations across aerospace & beyond #CFD #Aerospace #MeshGeneration #NASA
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Huge optimization to my terrain editor when smoothing (also texture painting, but that's not shown in the video). #gamedev #madewithunity #indiedev #proceduralgeneration #meshgeneration #procgen
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18 Aug 2025
🚀 High-resolution multi-block mesh of a Space Shuttle nozzle, capturing intricate rib details with #GridPro. Precision meshing = accurate CFD = better aerospace designs. #CFD #AerospaceEngineering #MeshGeneration #StructuredMesh #SpaceShuttle
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16 Aug 2025
Accurate CFD demands mesh-independent results. 🔍 GridPro makes grid convergence studies seamless with sequential structured grids that retain topology across refinements. Read how 👉 hubs.ly/Q03D3vCW0 #CFD #MeshGeneration #GridConvergence #GridPro #SimulationAccuracy
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📢PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers PartCrafter is the first unified 3D generative model that jointly synthesizes multiple semantically meaningful and geometrically distinct 3D parts from a single RGB image without any segmentation required. Powered by compositional latent diffusion and hierarchical attention, it enables end-to-end part-aware 3D mesh generation for objects and scenes. ------ Key Highlights: ✅One-Shot Part-Aware 3D Generation – Simultaneous generation of multiple structured parts directly from a single image ✅No Segmentation Needed – Avoids two-stage pipelines; no 2D/3D segmentation models required ✅Local-Global Attention Transformer – Captures fine part-level detail and global coherence during mesh generation ✅Compositional Latent Space – Each part is represented by its own disentangled set of tokens ✅Part ID Embedding Cross-Attention – Enables identity aware generation even for occluded or invisible parts ✅Scalable to Complex Scenes – Handles up to 16 parts per object and multi-object room scenes from 3D-Front dataset ------ Why it matters: PartCrafter unlocks the next generation of part-aware 3D content creation from robotics and gaming to digital twins and AR. By eliminating the need for segmentation and enabling controllable part-level synthesis, it brings modular 3D generation to the forefront of vision graphics research. ------ Explore More: 🔹Paper: arxiv.org/abs/2506.05573 🔹GitHub: github.com/wgsxm/PartCrafter 🔹Project Page: wgsxm.github.io/projects/par… 🔹Related: TripoSG, PartGen, MIDI ------ #PartCrafter #3DGeneration #DiffusionModels #LatentDiffusion #VisionTo3D #MeshGeneration #AIforGraphics #OpenSourceAI #AR #Robotics
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1 Aug 2025
@Yokohara_h has showcased this tool, Hunyuan3D-PolyGen, which generates incredibly clean low-poly 3D model meshes from images. 🔥 It's getting practical for prototyping and might soon rival hand-crafted models! #3DModeling #B3D #Blender3D #Animation #MeshGeneration
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28 Dec 2024
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Just read an amazing article about Meshtron, a breakthrough in high-fidelity 3D mesh generation at scale! This innovative technology is changing the game for artists and creators. #3D #MeshGeneration developer.nvidia.com/blog/hi…

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3 Aug 2024
Ensuring Nuclear Safety Through Advanced CFD Simulations At the heart of #nuclear power plant safety is the unwavering commitment to detailed and accurate data - bit.ly/46xjfYH #NuclearEnergy #CFD #FuelRods #MeshGeneration #ComputationalFluidDynamics
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After a ginormous refactoring and bug fixing, the tool is now not only more stable and optimized, but completely bug free. So I added 2 new nodes, a vertex color node and a uv transform node. #Unity3D #MeshGeneration #NodeMesh #UnityTool #IndieDev #GameDev #assetstore
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Have a try on 🚀𝐖𝐨𝐧𝐝𝐞𝐫𝟑𝐃🚀 ! A novel & powerful method that efficiently generates high-fidelity textured meshes from single-view images 😉! Project Page: xxlong.site/Wonder3D/ Demo: huggingface.co/spaces/flameh… #Wonder3D #MeshGeneration #ComputerVision #Graphics #AIGC

26 Oct 2023
Wonder3D: Single Image to 3D using Cross-Domain Diffusion paper page: huggingface.co/papers/2310.1… introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Sampling (SDS) have shown the potential to recover 3D geometry from 2D diffusion priors, but they typically suffer from time-consuming per-shape optimization and inconsistent geometry. In contrast, certain works directly produce 3D information via fast network inferences, but their results are often of low quality and lack geometric details. To holistically improve the quality, consistency, and efficiency of image-to-3D tasks, we propose a cross-domain diffusion model that generates multi-view normal maps and the corresponding color images. To ensure consistency, we employ a multi-view cross-domain attention mechanism that facilitates information exchange across views and modalities. Lastly, we introduce a geometry-aware normal fusion algorithm that extracts high-quality surfaces from the multi-view 2D representations. Our extensive evaluations demonstrate that our method achieves high-quality reconstruction results, robust generalization, and reasonably good efficiency compared to prior works.
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Woohoo! Made a hexagon mesh from code! Now to start building a Hexasphere #gamedev #unity3d #meshGeneration #student #ProceduralArt
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This video provides an overview of the many methods for customizing the automation available in Cadence Pointwise V18.5 and the updated Flashpoint Automatic Surface Meshing. ptwi.se/3G9rEmQ #cfd #meshgeneration #meshing
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Flashpoint Automatic Volume Meshing provides the ability for you to specify boundary conditions that override the defaults using name pattern matching. ptwi.se/3FEJsG2 #meshgeneration #cfd
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