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triposr-ov
Nekodeus/triposr-ov
triposr-ov is a machine learning model from Nekodeus. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for openvino.
OpenVINO IR conversion of TripoSR for fast 3D reconstruction on Intel CPUs and GPUs.
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Public
Updated Sep 19, 2026
Repo size
837 MB
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At a glance
- Library
- openvino
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- c3708cca
Model card
From the Hugging Face model README
TripoSR — OpenVINO IR Models
OpenVINO IR conversion of TripoSR for fast 3D reconstruction on Intel CPUs and GPUs.
Conversion Details
| Parameter | Value |
|---|---|
| Tool | openvino.convert_model() via ONNX intermediate |
| ONNX opset | 18 |
| Precision | FP16 |
| Source | TripoSR ONNX checkpoints (nerf.onnx, triplane.onnx) |
Why OpenVINO?
- 2-5x faster inference on Intel CPUs vs PyTorch/ONNX Runtime
- Intel Arc GPU + iGPU acceleration, no CUDA/NVIDIA required
- Lower memory with FP16 IR weights
- Deploy anywhere with
openvinoruntime only
Components
| File | Description |
|---|---|
triposr_triplane | Triplane decoder (main 3D reconstruction) |
triposr_nerf | NeRF renderer |
Usage
import openvino as ov
core = ov.Core()
model = core.read_model("triposr_triplane.xml")
compiled = core.compile_model(model, "GPU") # or "CPU"
out = compiled({"input": image_tensor})[0]
- Library
- openvino
- Languages
- en
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026