#CVPR2024

The platform features a regularly updated selection of CVPR 2024 research papers and open-source code, serving as an important resource for computer vision professionals. Covering topics from image classification and object detection to advanced technologies like diffusion models and NeRF, it supports staying informed about the latest innovations. Community engagement through issue submissions and discussions is encouraged to promote collective progress in the field.

Discover a collection of key papers and codes for CVPR2024 and ECCV2024 dedicated to AI-generated content (AIGC). This repository is a useful resource for researchers and interested parties in computer vision, providing insights into recent developments. Contributions in the form of stars, forks, or pull requests are welcome. Explore research groups and vision studies to stay updated with the latest trends.

GenerateU introduces a flexible approach to object detection without predefined categories, competing with methods like GLIP even without using category names in inference. Now available on OpenXLab and Hugging Face, it supports zero-shot domain transfer to LVIS, demonstrating reliable and advanced object detection.