#14096
Mentioned in 1 episodes
MVDream
Multi-view Diffusion for 3D Generation
Book • 2024
MVDream is a multi-view diffusion model designed to generate consistent multi-view images from given text prompts.
It combines learning from both 2D and 3D data to enhance the generalizability and consistency of 3D generation.
The model is particularly useful for creating 3D models without the multi-phase issue and achieves diversity comparable to state-of-the-art methods.
It combines learning from both 2D and 3D data to enhance the generalizability and consistency of 3D generation.
The model is particularly useful for creating 3D models without the multi-phase issue and achieves diversity comparable to state-of-the-art methods.
Mentioned by
Mentioned in 1 episodes
Mentioned when discussing the computational complexity of existing text-to-3D models.
64 snips
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738
