[WIP] Refactor README.md for academic presentation and clarity

[Copilot]

Refactor README.md to make it more academic, concise, and visually appealing

Plan

• Reorganize README structure into logical sections:
  • Introduction (MVT series overview)
  • Current SOTA (RICE - ICCV 2025)
  • Methodology/Highlights
  • Experiments
  • Usage (How to use)
  • Visualization
  • Model Zoo
  • Previous Versions (MLCD & UNICOM)
  • Citation
• Polish language to be more professional and academic
• Clean up Table of Contents with proper anchors
• Format ModelZoo table neatly
• Ensure code blocks are clear and distinct
• Preserve all images (header, highlights, experiments, visualization)
• Preserve all links to papers and models
• Verify final README is publication-ready

Original prompt

Refactor the README.md file to make it more academic, concise, and visually appealing.

Requirements:

1. Structure: Reorganize the file into logical sections: Introduction (MVT series), Current SOTA (RICE), Methodology/Highlights, Experiments, Usage, Visualization, Model Zoo, and Citation.
2. Tone: Polish the text to sound more professional and academic (e.g., "We present...", "Comprehensive performance comparison...").
3. Formatting:
   • Clean up the Table of Contents.
   • Ensure the "ModelZoo" table is neatly formatted.
   • Verify code blocks for the "How to use" section are distinct and clear.
4. Content Preservation:
   • Keep all links to papers (ICCV 2025, ECCV 2024, etc.) and models (HuggingFace).
   • Crucial: Preserve all existing images (Header graphic, Highlights diagram, Experiments table, Visualization screenshot). Do not remove the image URLs.
5. Goal: The final result should be a high-quality, publication-ready README.

Create a Pull Request with these improvements.

This pull request was created as a result of the following prompt from Copilot chat.

Refactor the README.md file to make it more academic, concise, and visually appealing.

Requirements:

1. Structure: Reorganize the file into logical sections: Introduction (MVT series), Current SOTA (RICE), Methodology/Highlights, Experiments, Usage, Visualization, Model Zoo, and Citation.
2. Tone: Polish the text to sound more professional and academic (e.g., "We present...", "Comprehensive performance comparison...").
3. Formatting:
   • Clean up the Table of Contents.
   • Ensure the "ModelZoo" table is neatly formatted.
   • Verify code blocks for the "How to use" section are distinct and clear.
4. Content Preservation:
   • Keep all links to papers (ICCV 2025, ECCV 2024, etc.) and models (HuggingFace).
   • Crucial: Preserve all existing images (Header graphic, Highlights diagram, Experiments table, Visualization screenshot). Do not remove the image URLs.
5. Goal: The final result should be a high-quality, publication-ready README.

Create a Pull Request with these improvements.

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