[R] Deep Learning Paper Summaries

The Vision Language Group at IIT Roorkee has written comprehensive summaries of deep learning papers from various prestigious conferences like NeurIPS, CVPR, ICCV, ICML 2016-24. A few notable examples include:

* DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation, CVPR'23 [https://github.com/vlgiitr/papers\_we\_read/blob/master/summaries/DreamBooth.md](https://github.com/vlgiitr/papers_we_read/blob/master/summaries/DreamBooth.md)
* Segment Anything, ICCV'23 [https://github.com/vlgiitr/papers\_we\_read/blob/master/summaries/Segment\_Anything.md](https://github.com/vlgiitr/papers_we_read/blob/master/summaries/Segment_Anything.md)
* An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion, ICVR'23 [https://github.com/vlgiitr/papers\_we\_read/blob/master/summaries/Textual\_inversion.md](https://github.com/vlgiitr/papers_we_read/blob/master/summaries/Textual_inversion.md)
* Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, NIPS'22 [https://github.com/vlgiitr/papers\_we\_read/blob/master/summaries/imagen.md](https://github.com/vlgiitr/papers_we_read/blob/master/summaries/imagen.md)
* An Image is Worth 16X16 Words: …

conferences cvpr deep learning examples iccv icml iit language machinelearning neurips paper papers vision