#3d-generation

#3d-generation

The article presents a novel approach to 3D generation using proxy-guided techniques and examines its effectiveness compared to image-based methods.

The study presents a novel method for 3D object generation using proxy-guided diffusion conditioning.

Coin3D enables interactive 3D object generation, utilizing coarse shape proxies and facilitating user-controlled modifications.

Coin3D significantly enhances the speed and interactivity of 3D object generation, outperforming previous methods in user experience and efficiency.

Utilizing 2D diffusion models facilitates improved 3D asset generation and generalization due to limitations in 3D datasets.

The article presents a novel method for generating multi-view consistent images from 3D diffusion models, outperforming existing techniques. Key focus on cross-domain diffusion.

The article discusses a novel method for extracting 3D geometries from 2D images using a geometric-aware optimization scheme to handle inaccuracies in generated data.

The model integrates a domain switcher to enhance pre-trained 2D diffusion models for effective operation across multiple domains.

The proposed method surpasses existing models in the quality of 3D reconstruction, particularly in terms of geometry and texture.

The proposed method demonstrates robust generalization capabilities even with fine-tuning on a small-scale 3D object dataset.