license: mit
language:
- en
tags:
- computer-vision
- 3d-reconstruction
- novel-view-synthesis
- gaussian-splatting
- diffusion-models
- sparse-view-reconstruction
library_name: pytorch
pipeline_tag: unconditional-image-generation
GeoQuery Checkpoint
This repository provides the pretrained checkpoint for GeoQuery, a geometry-guided diffusion framework for sparse-view 3D scene reconstruction and novel view refinement.
GeoQuery is designed to improve the rendering quality of sparse-view 3D Gaussian Splatting by using diffusion priors and explicit geometric guidance. Given artifact-prone novel-view renderings and reference views, GeoQuery performs geometry-aware restoration to reduce floating artifacts, structural distortions, texture errors, and cross-view inconsistencies.
Code repository: GeoQuery
Model Description
GeoQuery introduces a geometry-guided query mechanism for diffusion-based novel view refinement. Instead of relying purely on corrupted rendered-view features for cross-view information retrieval, GeoQuery leverages explicit geometric correspondences to guide feature aggregation from reference views.
The released checkpoint is intended for research usage and reproducing the results of the GeoQuery project.
Checkpoint
The checkpoint file included in this repository:
geoquery_win3_down1.pkl