hi3d-official/Hi3Dv1.0

image-to-3d model by hi3d-official

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English · 简体中文 High-resolution 3D geometry refinement built upon Sparc3D. Live Demo · GitHub Repository · International Website · China Website Technical Report (PDF) · Download PDF Released on October 23, 2026. Hi3D v1.0 refines a coarse mesh into high-resolution geometry, conditioned on a reference image of the same object. Built upon the Sparc3D representation and refinement architecture, it progressively samples sparse latents, decodes them with a self-pruning sparse VAE, and extracts a mesh. The project report describes training on approximately two million curated 3D assets and refinement up to an effective sparse extraction-grid resolution of 1536³. The Python package and public API retain the names sparc3d and Sparc3DPipeline for compatibility. This repository provides the Hi3D v1.0 refinement model artifacts. Inference code is available in the GitHub repository. Training code and the paper's evaluation harness are not included. Model artifacts are available on Hugging Face. The examples load hi3d-official/Hi3Dv1.0 directly;…

hi3d-official/Hi3Dv1.0 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Hi3D v1.0
  2. Overview
  3. System overview
  4. Visual comparisons
  5. Local geometry
  6. Multi-view comparisons
  7. Installation
  8. Model artifacts
  9. Python API
  10. Memory offload and progress
  11. Command line
  12. Optional Hunyuan coarse-generation example

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Model overview

hi3d-official/Hi3Dv1.0 is a image-to-3d model repository published by hi3d-official on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-to-3d
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
147
Hugging Face trending score
96
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-10-16T07:51:15.000Z
Last modified
2026-10-23T16:04:31.000Z

Compatibility and lineage

Reported languages: en, zh

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.

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