Computer Vision and Pattern Recognition is a massive conference. In 2023 alone, 9,155 papers were submitted, and 2,359 were accepted. I created this repository to help you search for crème de la crème of CVPR publications. If the paper you are looking for is not on my short list, take a peek at the full list of accepted papers.
| topic | title | repository / paper |
|---|---|---|
| Segmentation | OneFormer: One Transformer To Rule Universal Image Segmentation | |
| Segmentation | X-Decoder: Generalized Decoding for Pixel, Image and Language | |
| Segmentation and Generative AI | Images Speak in Images: A Generalist Painter for In-Context Visual Learning | |
| Segmentation | PACO: Parts and Attributes of Common Objects | |
| Segmentation | Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP | |
| NeRF | DynIBaR: Neural Dynamic Image-Based Rendering | |
| 3D | Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition | |
| Generative AI | 3D-aware Conditional Image Synthesis | |
| 3D | 3D Human Mesh Estimation from Virtual Markers | |
| Transfer Learning | A Data-Based Perspective on Transfer Learning | |
| Segmentation | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models | |
| Generative AI | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation | |
| Generative AI | InstructPix2Pix: Learning to Follow Image Editing Instructions | |
| Generative AI | High-resolution image reconstruction with latent diffusion models from human brain activity | |
| Benchmarking | Beyond mAP: Towards better evaluation of instance segmentation | |
| NeRF | SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields | |
| 3D | Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild | |
| 3D | ECON: Explicit Clothed humans Optimized via Normal integration | |
| 3D | NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views |
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.