EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
Paper โข 2312.06725 โข Published โข 1
How to use huanngzh/EpiDiff with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
# No code snippets available yet for this library.
# To use this model, check the repository files and the library's documentation.
# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.jsEpiDiff is a generative model based on Zero123 that takes an image of an object as a conditioning frame, and generates 16 multiviews of that object.
For usage instructions, please refer to our EpiDiff GitHub repository.
We use renders from the LVIS dataset, utilizing huanngzh/render-toolbox.