---
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.