| --- |
| license: apache-2.0 |
| tags: |
| - triposr |
| - image-to-3d |
| - onnx |
| - webgpu |
| - onnxruntime-web |
| library_name: onnxruntime |
| --- |
| |
| # TripoSR fp16 ONNX for browser WebGPU |
|
|
| Single-image to 3D reconstruction. TripoSR exported to ONNX (fp16) and split into |
| three sessions so it runs entirely in the browser on onnxruntime-web with the WebGPU |
| execution provider (GridSample runs natively). |
|
|
| Files: |
| - `encoder_fp16.onnx` (~173 MB) - ViT image encoder. Input `image` (1,3,512,512) fp32 -> `tokens` (1,768,1025). |
| - `backbone_fp16.onnx` (~666 MB) - triplane transformer. Input `image_tokens` (1,1025,768) -> `scene_codes` (1,3,40,64,64). |
| - `decoder_fp16.onnx` (~0.1 MB) - triplane MLP. Inputs `triplane` (3,40,64,64) + `points` (N,3) -> `density` (N,1), `color` (N,3). |
|
|
| Model I/O is fp32; weights are fp16. Preprocess: RGBA composited over 0.5 gray, |
| bilinear antialias resize to 512x512. Decode a grid over (-0.87, +0.87), marching |
| cubes at iso 25 on the density field. |
|
|
| ## Credit |
| Original model: [VAST-AI-Research/TripoSR](https://github.com/VAST-AI-Research/TripoSR) (Tripo AI + Stability AI). Apache-2.0. |
| This is a repackaging of those weights to ONNX for in-browser inference. |
|
|
