Fast3D
Fast3D is a lightning‑fast AI‑powered 3D model generator that transforms text prompts or single/multi‑view images into professional‑grade mesh assets with customizable texture synthesis, mesh density, and style presets, all in under ten seconds without any modeling experience. It combines high‑fidelity PBR material generation with seamless tiling and intelligent style transfer, delivers precise geometric accuracy for realistic structures, and supports both text‑to‑3D and image‑to‑3D workflows. Outputs are compatible with any pipeline, offering export in GLB/GLTF, FBX, OBJ/MTL, and STL formats, while its intuitive web interface requires no login or setup. Whether for gaming, 3D printing, AR/VR, metaverse content, product design, or rapid prototyping, Fast3D’s AI core enables creators to explore diverse ideas through batch uploads, random inspiration galleries, and adjustable quality tiers, bringing concepts to 3D reality in seconds rather than days.
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AWS Thinkbox Sequoia
AWS Thinkbox Sequoia is a standalone application for point cloud processing and meshing, compatible with Windows, Linux, and macOS operating systems. It accepts point cloud and mesh data in various industry-standard formats, converting point cloud data into a compact and fast-to-access intermediate cache format. Sequoia offers intelligent workflows to retain high-precision data efficiently, displaying all or a fraction of the point cloud data using adaptive view-dependent methods. Users can transform, cull, and modify point cloud data, generate meshes from point clouds, and optimize the produced meshes. The software supports projecting images onto points and meshes, generating mesh vertex colors, Ptex, or UV-based textures from point cloud colors and image projections. It exports resulting meshes to supported industry-standard mesh file formats and integrates with Thinkbox Deadline to perform point cloud data conversion, meshing, and export on network nodes.
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HunyuanWorld
HunyuanWorld-1.0 is an open source AI framework and generative model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D worlds from text prompts or image inputs by combining the strengths of 2D and 3D generation techniques into a unified pipeline. At its core, the project features a semantically layered 3D mesh representation that uses 360° panoramic world proxies to decompose and reconstruct scenes with geometric consistency and semantic awareness, enabling the creation of diverse, coherent environments that can be navigated and interacted with. Unlike traditional 3D generation methods that struggle with either limited diversity or inefficient data representations, HunyuanWorld-1.0 integrates panoramic proxy generation, hierarchical 3D reconstruction, and semantic layering to balance high visual quality and structural integrity while enabling exportable meshes compatible with common graphics workflows.
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Magic3D
Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. Magic3D can create high-quality 3D textured mesh models from input text prompts. It utilizes a coarse-to-fine strategy leveraging both low- and high-resolution diffusion priors for learning the 3D representation of the target content. Magic3D synthesizes 3D content with 8× higher-resolution supervision than DreamFusion while also being 2× faster. Given a coarse model generated with a base text prompt, we can modify parts of the text in the prompt, and then fine-tune the NeRF and 3D mesh models to obtain an edited high-resolution 3D mesh.
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