Real3D
Real3D utilizes single-view real-world images to efficiently train large reconstruction models. Its unique self-training framework with unsupervised learning enables detailed supervision without ground-truth 3D data. The project introduces an automatic data curation method, enhancing data quality and diversity for better performance across diverse scenarios. Real3D effectively combines synthetic and real-world data for more accurate 3D modeling.
