Address comments

docs/source/en/model_doc/grounding-dino.md

@@ -81,7 +81,9 @@ alt="drawing" width="900"/>
 
 ## Resources
 
-Demo notebooks regarding inference with Grounding DINO as well as combining it with [SAM](sam) can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Grounding%20DINO).
+A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with Grounding DINO. If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource.
+
+- Demo notebooks regarding inference with Grounding DINO as well as combining it with [SAM](sam) can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Grounding%20DINO). 🌎
 
 ## GroundingDinoImageProcessor
 

docs/source/en/model_doc/sam.md

@@ -109,6 +109,15 @@ SlimSAM, a pruned version of SAM, was proposed in [0.1% Data Makes Segment Anyth
 
 Checkpoints can be found on the [hub](https://huggingface.co/models?other=slimsam), and they can be used as a drop-in replacement of SAM.
 
+## Grounded SAM
+
+One can combine [Grounding DINO](grounding-dino) with SAM for text-based mask generation as introduced in [Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks](https://arxiv.org/abs/2401.14159). Refer to the [demo notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Grounding%20DINO/GroundingDINO_with_Segment_Anything.ipynb) for details.
+
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/grounded_sam.png"
+alt="drawing" width="900"/>
+
+<small> Grounded SAM overview. Taken from the <a href="https://github.com/IDEA-Research/Grounded-Segment-Anything">original repository</a>. </small>
+
 ## SamConfig
 
 [[autodoc]] SamConfig