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SkalskiP / top-cvpr-2023-papers

  • суббота, 24 июня 2023 г. в 00:00:08
https://github.com/SkalskiP/top-cvpr-2023-papers

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]



top cvpr 2023 papers


vancouver

👋 hello

Computer Vision and Pattern Recognition is a massive conference. In 2023 alone, 9155 papers were submitted, and 2359 were accepted. I created this repository to help you and me search for papers worthy of attention. It is a curated collection of the most exciting and influential CVPR 2023 papers.

🗞️ papers

title repository / paper
OneFormer: One Transformer To Rule Universal Image Segmentation GitHub arXiv
X-Decoder: Generalized Decoding for Pixel, Image and Language GitHub arXiv
Images Speak in Images: A Generalist Painter for In-Context Visual Learning GitHub arXiv
PACO: Parts and Attributes of Common Objects GitHub arXiv
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP GitHub arXiv
DynIBaR: Neural Dynamic Image-Based Rendering GitHub arXiv
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition GitHub arXiv
3D-aware Conditional Image Synthesis GitHub arXiv
3D Human Mesh Estimation from Virtual Markers GitHub arXiv
A Data-Based Perspective on Transfer Learning GitHub arXiv
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models GitHub arXiv
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation GitHub arXiv
InstructPix2Pix: Learning to Follow Image Editing Instructions GitHub arXiv
High-resolution image reconstruction with latent diffusion models from human brain activity GitHub arXiv
Beyond mAP: Towards better evaluation of instance segmentation GitHub arXiv
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields GitHub arXiv

🦸 contribution

We would love your help in making this repository even better! If you know of an amazing paper that isn't listed here, or if you have any suggestions for improvement, feel free to open an issue or submit a pull request.