Improve model card: Add pipeline tag, paper, and code links for Talking Points

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+pipeline_tag: keypoint-detection
+---
+
+# Talking Points: Describing and Localizing Pixels
+
+This repository contains the official implementation of the **Talking Points** framework, presented in the paper [Talking Points: Describing and Localizing Pixels](https://huggingface.co/papers/2510.14583).
+
+Vision-language models have achieved remarkable success in cross-modal understanding, but often remain limited to object-level or region-level grounding, lacking the capability for pixel-precise keypoint comprehension through natural language. Talking Points introduces a novel framework for pixel-level grounding, consisting of two complementary components:
+-   A **Point Descriptor** that generates rich, contextual descriptions of individual keypoints.
+-   A **Point Localizer** that regresses precise pixel coordinates from these descriptions.
+
+Unlike prior work that relies on templated prompts or keypoint names, our approach produces free-form, coarse-to-fine descriptions that situate keypoints within their visual context.
+
+<div align="center">
+  <img src="https://github.com/matanr/Talking_Points/raw/master/images/teaser.png" width="100%"/>
+</div>
+
+For more detailed information, including installation instructions, dataset creation, training scripts, and evaluation protocols, please refer to the [official GitHub repository](https://github.com/matanr/Talking_Points).
+
+## Acknowledgments
+This repository is built upon and incorporates code from [OMG-Seg and OMG-LLaVA](https://github.com/lxtGH/OMG-Seg/tree/main). In addition, it uses the code from [LLaVA](https://github.com/haotian-liu/LLaVA).
+
+## License
+This project follows the [Apache-2.0 license](https://github.com/haotian-liu/LLaVA?tab=Apache-2.0-1-ov-file), for the respect of both [LLaVA](https://github.com/haotian-liu/LLaVA) and [XTuner](https://github.com/InternLM/xtuner) codebase.