Third-party licenses
This license index adapts the SPARC3D third-party notices for Hi3D v1.0. The original license texts and attributions are retained, with additional references for separately obtained models and optional examples.
The original SPARC3D license is retained in Original Apache license. Hi3D-owned or otherwise licensable materials identified in Schedule 2 are governed by the Hi3D Agreement in LICENSE. See License scope for the component boundaries; the new Agreement does not replace original third-party licenses or previously granted rights.
Parts of this package are derived from other open-source projects. Each is listed below with the files it covers and the full text of its license, as those licenses require. Every file named here also carries a provenance header pointing back to this document.
| Upstream | License | Covers |
|---|---|---|
| Microsoft TRELLIS | MIT | the sparse transformer and its building blocks |
| Pointcept / Point Transformer V3 | MIT | the Point structure and the sparse PTv3 decoder |
| O-CNN (ocnn-pytorch) | MIT | Z-order (Morton) encoding |
| NVIDIA FlexiCubes | Apache-2.0 | dual-marching-cubes surface extraction |
License scope
This index explains the component boundaries in Schedule 2 of the Hi3D Open License Agreement Version 1.0. It does not amend the Agreement or grant additional rights. The Agreement and each applicable third-party license govern their respective materials.
| Component | Applicable terms |
|---|---|
Second-stage implementation and modifications in sparc3d/, including package initialization |
The Hi3D Agreement applies only to content OCEANO HK HOLDING LIMITED owns or is authorized to license; original third-party rights in the same files remain under their original terms |
demo/refine_mesh.py, demo/image_to_mesh.py, demo/coarse_stage.py |
The Hi3D Agreement applies to licensable example code; Hunyuan's separate implementation, weights and outputs are excluded |
| The README, documentation and configuration paths listed in Schedule 2 | The Hi3D Agreement applies to licensable content; original notices and third-party terms remain in effect |
| The eight refinement artifacts listed in Schedule 2 | Distributed separately from the source code and Python packages under the Hi3D Agreement; other files or versions are not included merely by sharing a repository |
| Original SPARC3D, TRELLIS, Pointcept, O-CNN and FlexiCubes rights | Retained Apache-2.0 or MIT terms, as detailed in this file and the original source headers |
| Hunyuan3D-2mini, DINOv2, CLIP and other external dependencies | Their own upstream licenses; not relicensed by Hi3D |
| The five files listed as Sample Media in Schedule 2 | Excluded from the Hi3D Agreement; their presence or display does not grant reuse rights |
| Unreleased first-stage materials, training code, datasets, and brand assets | Excluded, subject to the limited trademark permissions expressly granted in the Agreement |
LicenseRef-Hi3D-1.0 denotes the custom Agreement in LICENSE, not a
blanket license for every file. Previously granted rights under applicable
Apache-2.0 or MIT licenses are not withdrawn or replaced by the Hi3D Agreement.
The source archive contains media expressly excluded by Schedule 2. Therefore its package metadata does not assert a single SPDX license expression for the whole archive. The complete applicable agreements and notices are included with the Python distributions.
Microsoft TRELLIS
Covers:
sparc3d/models/transformers/sparc3d_transformer.pysparc3d/nn/norm.pysparc3d/nn/rope.pysparc3d/nn/utils.pysparc3d/nn/sparse/basic.pysparc3d/nn/sparse/conv.pysparc3d/nn/sparse/linear.pysparc3d/nn/sparse/nonlinearity.pysparc3d/nn/sparse/spatial.pysparc3d/nn/sparse/attention/full_attn.pysparc3d/nn/sparse/attention/modules.pysparc3d/nn/sparse/transformer/blocks.pysparc3d/nn/sparse/transformer/modulated.py
Each of these files states the specific SPARC3D modification in its header. In general the training paths, the alternative attention backends, and the dense variants were removed, leaving the released inference architecture.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE
Pointcept / Point Transformer V3
Point Transformer V3 (Xiaoyang Wu et al.) is released as part of Pointcept.
Covers:
sparc3d/models/autoencoders/blocks.pysparc3d/models/autoencoders/ptv3.pysparc3d/structures/point.pysparc3d/structures/point_modules.pysparc3d/utils/misc.pysparc3d/utils/precision.pysparc3d/utils/serialization/default.py
The decoder half was specialized for the sparse mesh autoencoder; the encoder, the training paths, and the Hilbert serialization order were removed.
MIT License
Copyright (c) 2023 Pointcept
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
O-CNN (ocnn-pytorch)
Covers:
sparc3d/utils/serialization/z_order.py
The Morton decode tables and the batch-index field of the key were removed; only
xyz2key encoding is retained.
MIT License
Copyright (c) 2022 Peng-Shuai Wang <wangps@hotmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
NVIDIA FlexiCubes
Covers:
sparc3d/ops/flexicubes/
FlexiCubes retains its Apache-2.0 license. Its copy of the
license ships in the package at sparc3d/ops/flexicubes/LICENSE.txt, satisfying
Apache-2.0 section 4(a); the NVIDIA copyright notices are retained in the source
files, satisfying 4(c); and sparc3d/ops/flexicubes/flexicubes.py carries a
header enumerating every SPARC3D modification, satisfying 4(b). Upstream ships no
NOTICE file, so 4(d) does not apply.
The vendored copy is inference-only: the tetrahedral output, the learned interpolation weights, the developability regularizer, and the gradient hooks were removed.
External models and optional examples
This section indexes components obtained separately at runtime or by the user. It does not add their code or weights to this distribution, grant a license to them, or replace their upstream terms. Neither the Hi3D Agreement nor a retained source-code license automatically applies to external model weights or third-party outputs.
Required external image encoders
The default image conditioner loads the following models separately. Neither is included in the Hi3D refinement checkpoint or in this source tree.
| Component | Role | Official model source | Upstream license reference |
|---|---|---|---|
| DINOv2-large | Spatial image features | facebook/dinov2-large | Apache-2.0, DINOv2 LICENSE |
| CLIP ViT-L/14 | Global image conditioning | openai/clip-vit-large-patch14 | MIT, CLIP LICENSE |
Consult each model's own model card and the terms supplied with the version you
obtain. Background-removal models used by the optional rembg integration are
also obtained separately and retain their own terms.
Optional Hunyuan3D coarse-mesh example
demo/coarse_stage.py is a Hi3D / SPARC3D example adapter. It imports
hy3dgen.shapegen.Hunyuan3DDiTFlowMatchingPipeline only when that example is used.
Its default model is tencent/Hunyuan3D-2mini, subfolder
hunyuan3d-dit-v2-mini-turbo.
Hunyuan3D is only an optional example of coarse-mesh generation. It is not a
mandatory dependency of the Hi3D refinement library or a required product
integration. demo/refine_mesh.py and the core sparc3d package accept a supplied
coarse mesh without using Hunyuan3D. Other suitable coarse-mesh generators can be
used instead. Installing the [inference] or [demo] extras does not install
Hunyuan3D.
Tencent's Hunyuan3D implementation and pretrained weights are third-party releases, not open-source content released by Hi3D. They are not bundled with this repository and are not relicensed under the Hi3D Agreement or any retained source-code license. Users who choose this example obtain them separately and comply with their upstream terms.
| Component used by the example | Official source | Applicable upstream agreement |
|---|---|---|
Hunyuan3D-2 implementation (hy3dgen) |
Tencent-Hunyuan/Hunyuan3D-2 | Tencent Hunyuan 3D 2.0 Community License Agreement — source LICENSE |
| Hunyuan3D-2mini weights, mini-turbo variant | tencent/Hunyuan3D-2mini | Tencent Hunyuan 3D 2.0 Community License Agreement — model LICENSE |
Upstream license terms are version-specific. If you select a different model, subfolder, or source version, consult its matching license and model card. Example-only use does not waive applicable restrictions, attribution, redistribution, or hosted-service obligations in those agreements.
Hi3D refinement weights
The eight Hi3D refinement artifacts identified and released under Schedule 2 are governed by the Hi3D Agreement in LICENSE. They are distributed separately from this source repository; see License scope. Other model files are not covered merely because they share the repository or use a similar name.
Original Apache license
The following is the original SPARC3D Apache-2.0 text, retained without changes. It continues to govern the materials and rights to which it originally applied; the Hi3D Agreement does not revoke those grants.
Apache License
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http://www.apache.org/licenses/
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