trellis-3d-generation

To convert a 2D image to a 3D model, use the provided script to process an input image and generate a 3D output file. You can run `python generate_3d_model.py input_image.jpg output_model.glb` to execute the image-to-3D transformation using Microsoft TRELLIS.

Yes, you can use Microsoft TRELLIS for 3D reconstruction from multiple photos. This Skill supports transforming single or multi-view images into 3D models by leveraging structured 3D latents to build the final geometry from your photo sets.

Image-to-3D conversion with Microsoft TRELLIS requires dependencies including PyTorch, Diffusers, Transformers, and Spconv. You also need image processing libraries like Rembg and OnnxRuntime, plus 3D mesh handling tools like Trimesh and Open3D.

Yes, the image-to-3D pipeline supports exporting to GLB format. The quick start command explicitly demonstrates outputting a 3D model to a `.glb` file, utilizing Trimesh and Open3D to handle the generated 3D structure.

The best way to generate a 3D model from a product photo is to use this Skill's TRELLIS pipeline integration. It streamlines the process from image input directly to a 3D model output, specifically addressing the needs of product designers.

Background removal tools like Rembg are required for 3D reconstruction to isolate the target object from its environment. Processing a clean subject allows Microsoft TRELLIS to accurately calculate structured 3D latents and generate precise geometry.