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.
title |
repository / paper |
OneFormer: One Transformer To Rule Universal Image Segmentation |
![arXiv](https://camo.githubusercontent.com/8928ee80cf424b1a771862581c2ca3f0070c804e8ef1ced75bfe1a3c8556536d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e303632322d6233316231622e737667) |
X-Decoder: Generalized Decoding for Pixel, Image and Language |
![arXiv](https://camo.githubusercontent.com/4c67b862e4cde4254bdcddd0c7a258dbeb8383096d18f2933f9221e946e93651/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231322e313132372d6233316231622e737667) |
Images Speak in Images: A Generalist Painter for In-Context Visual Learning |
![arXiv](https://camo.githubusercontent.com/980ceba5e991fee42d67575456d3cfd9c42409ecdefe2e20f7b60b36f5d7b642/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231322e30323439392d6233316231622e737667) |
PACO: Parts and Attributes of Common Objects |
![arXiv](https://camo.githubusercontent.com/6dd11260f50d6425d33fa5d47a77b53cad1f220fd114dd5beaae35de30ca8d65/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330312e30313739352d6233316231622e737667) |
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP |
![arXiv](https://camo.githubusercontent.com/24183b3d99597811d57e5371b9f5ece7d5f7212c9ec434687ba62fd2032a5dea/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231302e303431352d6233316231622e737667) |
DynIBaR: Neural Dynamic Image-Based Rendering |
![arXiv](https://camo.githubusercontent.com/9becb3027a07db938744ae82822ea40ebb42523ccecdb6b8998474539e0834cf/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e31313038322d6233316231622e737667) |
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition |
![arXiv](https://camo.githubusercontent.com/fcde301969dea3158cadb7d27a8ca84cb074d352d1abc291a0c9fa3a4a326fc5/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330322e31313536362d6233316231622e737667) |
3D-aware Conditional Image Synthesis |
![arXiv](https://camo.githubusercontent.com/20257d92926ab62b3042da1204ea6ffbf70c6a2758290b0d3b9dad64205c0096/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330322e30383530392d6233316231622e737667) |
3D Human Mesh Estimation from Virtual Markers |
![arXiv](https://camo.githubusercontent.com/29deb8a026b01512e7adb2bd26f3e28ad63a4f5a9dda801e657927b6457f7e04/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330332e31313732362d6233316231622e737667) |
A Data-Based Perspective on Transfer Learning |
![arXiv](https://camo.githubusercontent.com/ca1a5b42ca041202e082a365fe480fd88b9ed30a31ae6aba708ede8d88795f86/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230372e30353733392d6233316231622e737667) |
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models |
![arXiv](https://camo.githubusercontent.com/8b4db34c2c5d5359be44f27b768c3d59f21ac728b56f0e84fdae222923ead650/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330332e30343830332d6233316231622e737667) |
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation |
![arXiv](https://camo.githubusercontent.com/b096dd28720f88d6186d549925f6aac522527a8c2dfa78dae24ab48f73e01203/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230382e31323234322d6233316231622e737667) |
InstructPix2Pix: Learning to Follow Image Editing Instructions |
![arXiv](https://camo.githubusercontent.com/bb3f3b8b161cf7155ca8a0a2648ce1cad7d38f961bb908af059864799361a998/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e3039382d6233316231622e737667) |
High-resolution image reconstruction with latent diffusion models from human brain activity |
![arXiv](https://camo.githubusercontent.com/ac162a96a2d656a9fcc7d4917aad767ac0d6001960e6c2a54f3ee1fa7c167534/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323330362e31313533362d6233316231622e737667) |
Beyond mAP: Towards better evaluation of instance segmentation |
![arXiv](https://camo.githubusercontent.com/73bce0c8d42bcc99c55d7ad791ea1781a37e06dcef7af81d4c1e903dfe7ff3fa/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323230372e30313631342d6233316231622e737667) |
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields |
![arXiv](https://camo.githubusercontent.com/487cf1c3d5d6774b460776ee9d93ba10b52934fde1308406754c313ee78de44f/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323231312e31323235342d6233316231622e737667) |
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.