Summary of Diffpano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-aware Diffusion, by Weicai Ye et al.
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
by Weicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao, Xiaoshui Huang, Song-Hai Zhang, Wanli Ouyang, Tong He, Cairong Zhao, Guofeng Zhang
First submitted to arxiv on: 31 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel method for generating 3D scenes and 360^{} images using diffusion-based models. The authors establish a large-scale dataset of panoramic video-text pairs to train their model, which they call DiffPano. This framework uses stable diffusion and fine-tuning with LoRA to generate scalable, consistent, and diverse panoramic images from text descriptions and camera poses. The authors also design a spherical epipolar-aware multi-view diffusion model to ensure consistency across multiple views. Experimental results demonstrate the effectiveness of DiffPano in generating high-quality panoramic images. Keywords: Diffusion-based methods, 3D scene generation, panoramic video-text dataset, LoRA, stable diffusion. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a new way to create 3D scenes and 360^{} images using computers. The authors created a big library of pictures and text descriptions that match each other. They then developed a special computer program called DiffPano that can use this data to generate new, realistic 3D scenes and panoramic images from text descriptions. The program uses something called stable diffusion, which is like a very powerful brush that can paint amazing pictures. The authors tested their program and found that it works really well, generating many different kinds of panoramic images. |
Keywords
» Artificial intelligence » Diffusion » Diffusion model » Fine tuning » Lora
