ziqihuangg/ReVersion

• highreadme#1

  Reposition the README's opening to clarify the core task

  原因：

  当前

  # ReVersion (SIGGRAPH Asia, 2024)
  
  [](https://ziqihuangg.github.io/papers/2024SigAsia-ReVersion.pdf)
  [](https://arxiv.org/abs/2303.13495)
  [](https://ziqihuangg.github.io/projects/reversion.html)
  [](https://www.youtube.com/watch?v=pkal3yjyyKQ)
  
  [](https://huggingface.co/spaces/Ziqi/ReVersion)
  
  This repository contains the implementation of the following paper:
  > **ReVersion: Diffusion-Based Relation Inversion from Images**<br>
  > Ziqi Huang<sup>∗</sup>, Tianxing Wu<sup>∗</sup>, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu<br>
  
  From MMLab@NTU affiliated with S-Lab, Nanyang Technological University
  
  ## :open_book: Overview
  
  We propose a new task, **Relation Inversion**: Given a few exemplar images, where a relation co-exists in every image, we aim to find a relation prompt **<R>** to capture this interaction, and apply the relation to new entities to synthesize new scenes. The above images are generated by our **ReVersion** framework.

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  # ReVersion (SIGGRAPH Asia, 2024)
  
  **ReVersion introduces a novel diffusion-based framework for Relation Inversion, enabling the extraction and application of visual relationships from example images to synthesize new scenes.**
  
  [](https://ziqihuangg.github.io/papers/2024SigAsia-ReVersion.pdf)
  [](https://arxiv.org/abs/2303.13495)
  [](https://ziqihuangg.github.io/projects/reversion.html)
  [](https://www.youtube.com/watch?v=pkal3yjyyKQ)
  
  [](https://huggingface.co/spaces/Ziqi/ReVersion)
  
  This repository contains the implementation of the following paper:
  > **ReVersion: Diffusion-Based Relation Inversion from Images**<br>
  > Ziqi Huang<sup>∗</sup>, Tianxing Wu<sup>∗</sup>, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu<br>
  
  From MMLab@NTU affiliated with S-Lab, Nanyang Technological University
  
  ## :open_book: Overview
  
  We propose a new task, **Relation Inversion**: Given a few exemplar images, where a relation co-exists in every image, we aim to find a relation prompt **<R>** to capture this interaction, and apply the relation to new entities to synthesize new scenes. The above images are generated by our **ReVersion** framework.

  待办完成忽略
• mediumtopics#2

  Add more specific topics related to the task and application

  原因：

  当前

  aigc, diffusion-model, gen-ai, image-generation, relation-modeling, stable-diffusion

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  aigc, diffusion-model, gen-ai, image-generation, relation-modeling, stable-diffusion, scene-generation, visual-relations, relation-learning, image-synthesis, generative-ai-for-vision

  待办完成忽略
• lowlicense#3

  Clarify the project's license in the README

  原因：

  复制粘贴的修复

  复制

  Add a section or line in the README, for example, under the 'Overview' or 'Updates' section, stating: 'This project is released under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to extract and apply object relationships from example images for new scene generation?

  你：未被推荐
  AI 推荐顺序：

  1. Graph R-CNN
  2. Neural Motifs
  3. Scene Graph Transformer (SGT)
  4. PyTorch Geometric (PyG)
  5. NetworkX
  6. LayoutGAN
  7. LayoutVAE
  8. SG2IM (Scene Graph to Image Synthesis)
  9. GigaGAN
  10. StyleGAN

  AI 推荐了 10 个替代方案，却始终没点名 ziqihuangg/ReVersion。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a generative AI model to synthesize new images based on learned interactions from provided examples.

  你：未被推荐
  AI 推荐顺序：

  1. Stable Diffusion (Stability-AI/StableDiffusion)
  2. DreamStudio
  3. Midjourney
  4. DALL-E 3
  5. ChatGPT Plus
  6. Microsoft Copilot
  7. Adobe Firefly
  8. Imagen
  9. StyleGAN (NVlabs/stylegan3)

  AI 推荐了 9 个替代方案，却始终没点名 ziqihuangg/ReVersion。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ziqihuangg/ReVersion?

  pass
  ✓AI 明确点名了 ziqihuangg/ReVersion

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts ziqihuangg/ReVersion in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 ziqihuangg/ReVersion

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo ziqihuangg/ReVersion solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 ziqihuangg/ReVersion

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？