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@huggingface/tasks

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import type { TaskDataCustom } from "../index.js"; const taskData: TaskDataCustom = { datasets: [ { description: "A large dataset of over 10 million 3D objects.", id: "allenai/objaverse-xl", }, { description: "A dataset of isolated object images for evaluating image-to-3D models.", id: "dylanebert/iso3d", }, ], demo: { inputs: [ { filename: "image-to-3d-image-input.png", type: "img", }, ], outputs: [ { label: "Result", content: "image-to-3d-3d-output-filename.glb", type: "text", }, ], }, metrics: [], models: [ { description: "Fast image-to-3D mesh model by Tencent.", id: "TencentARC/InstantMesh", }, { description: "Fast image-to-3D mesh model by StabilityAI", id: "stabilityai/TripoSR", }, { description: "A scaled up image-to-3D mesh model derived from TripoSR.", id: "hwjiang/Real3D", }, { description: "Consistent image-to-3d generation model.", id: "stabilityai/stable-point-aware-3d", }, ], spaces: [ { description: "Leaderboard to evaluate image-to-3D models.", id: "dylanebert/3d-arena", }, { description: "Image-to-3D demo with mesh outputs.", id: "TencentARC/InstantMesh", }, { description: "Image-to-3D demo.", id: "stabilityai/stable-point-aware-3d", }, { description: "Image-to-3D demo with mesh outputs.", id: "hwjiang/Real3D", }, { description: "Image-to-3D demo with splat outputs.", id: "dylanebert/LGM-mini", }, ], summary: "Image-to-3D models take in image input and produce 3D output.", widgetModels: [], youtubeId: "", }; export default taskData;