Summary of One Diffusion to Generate Them All, by Duong H. Le et al.
One Diffusion to Generate Them All
by Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu
First submitted to arxiv on: 25 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 The paper introduces OneDiffusion, a large-scale diffusion model that enables bidirectional image synthesis and understanding across various tasks. This versatile model can generate images from inputs like text, depth, pose, layout, and semantic maps, and also handles tasks such as image deblurring, upscaling, and reverse processes like depth estimation and segmentation. OneDiffusion supports multi-view generation, camera pose estimation, and instant personalization using sequential image inputs. The model treats all tasks as frame sequences with varying noise scales during training, allowing any frame to act as a conditioning image at inference time. The unified training framework removes the need for specialized architectures, supports scalable multi-task training, and adapts smoothly to any resolution, enhancing both generalization and scalability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary OneDiffusion is a new AI model that can create images from different inputs like text or 3D maps. It’s very good at generating images and understanding what’s in them, no matter what task it’s asked to do. The model can also reverse tasks, like turning a blurry image into a clear one. OneDiffusion uses a unique training method that makes it easy to learn many different tasks and work with images of any size. |
Keywords
» Artificial intelligence » Depth estimation » Diffusion model » Generalization » Image synthesis » Inference » Multi task » Pose estimation
