We lifted 10 functions out of this paper's own repositories and ran 1 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| tencent/hunyuan3d-2 | canonical | 1 of 10 |
| Function | Status | Where it lives |
|---|---|---|
| get_obj_from_str | Ran | tencent/hunyuan3d-2/hy3dgen/shapegen/pipelines.py pointer only (licence: NONE) · get_code("221b2d116fdf1032") |
| array_to_tensor | Not yet run | tencent/hunyuan3d-2/hy3dgen/shapegen/preprocessors.py pointer only (licence: NOASSERTION) · get_code("9dd0c82f9c736b62") |
| build_image_encoder | Not yet run | tencent/hunyuan3d-2/hy3dgen/shapegen/models/conditioner.py pointer only (licence: NOASSERTION) · get_code("92515a13b1c7acc3") |
| export_mesh | Not yet run | tencent/hunyuan3d-2/gradio_app.py pointer only (licence: NOASSERTION) · get_code("c955b973f7670b5e") |
| gen_save_folder | Not yet run | tencent/hunyuan3d-2/gradio_app.py pointer only (licence: NOASSERTION) · get_code("39256d0459ba6ee7") |
| get_1d_sincos_pos_embed_from_grid | Not yet run | tencent/hunyuan3d-2/hy3dgen/shapegen/models/conditioner.py pointer only (licence: NOASSERTION) · get_code("7700f3428f58afbe") |
| load_image_from_base64 | Not yet run | tencent/hunyuan3d-2/api_server.py pointer only (licence: NOASSERTION) · get_code("0dde2e782959c0bd") |
| pretty_print_semaphore | Not yet run | tencent/hunyuan3d-2/api_server.py pointer only (licence: NONE) · get_code("37899f22fb191b37") |
| randomize_seed_fn | Not yet run | tencent/hunyuan3d-2/gradio_app.py pointer only (licence: NOASSERTION) · get_code("c5c1412bf688b728") |
| retrieve_timesteps | Not yet run | tencent/hunyuan3d-2/hy3dgen/shapegen/pipelines.py pointer only (licence: NOASSERTION) · get_code("607a22f436cb1076") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
In this report, we present Hunyuan3D 2.5, a robust suite of 3D diffusion models aimed at generating high-fidelity and detailed textured 3D assets. Hunyuan3D 2.5 follows two-stages pipeline of its previous version Hunyuan3D 2.0, while demonstrating substantial advancements in both shape and texture generation. In terms of shape generation, we introduce a new shape foundation model -- LATTICE, which is trained with scaled high-quality datasets, model-size, and compute. Our largest model reaches 10B parameters and generates sharp and detailed 3D shape with precise image-3D following while keeping mesh surface clean and smooth, significantly closing the gap between generated and handcrafted 3D shapes. In terms of texture generation, it is upgraded with phyiscal-based rendering (PBR) via a novel multi-view architecture extended from Hunyuan3D 2.0 Paint model. Our extensive evaluation shows that Hunyuan3D 2.5 significantly outperforms previous methods in both shape and end-to-end texture generation.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2506.16504")
get_code_for_paper("2506.16504")
have("2506.16504")
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