ECCV 2024 Papers with Code: A Comprehensive Collection
The European Conference on Computer Vision (ECCV) 2024 is one of the top-tier conferences in the realm of computer vision, showcasing advancements and cutting-edge research in the field. The ECCV 2024 Papers with Code project is an exciting initiative that not only lists the accepted papers for this renowned conference but also connects them with corresponding open-source projects and code repositories. This link between theory and application is invaluable for researchers, practitioners, and enthusiasts who wish to delve into the practical implementations of these academic explorations.
Overview
ECCV decisions for 2024 are out, and the community is actively sharing the latest papers and code on this repository. Notably, the project is open to contributions—experts and researchers can submit issues to include more ECCV 2024 papers and accompanying open-source projects. The initiative is part of a broader collection that also covers previous conferences like CVPR and previous editions of ECCV.
Joining the Community
The repository encourages joining an academic discussion group named "CVer学术交流群," which is a large knowledge-sharing platform for AI enthusiasts focusing on computer vision. Members get daily updates on state-of-the-art research in computer vision, deep learning, autonomous driving, medical imaging, and artificial intelligence-generated content (AIGC).
Key Topics and Works
The repository categorizes papers and projects under several key topics within computer vision and deep learning. Each section includes links to papers, project pages, and code repositories where available, offering a rich resource for exploration:
- 3DGS (Gaussian Splatting): This section features projects like MVSplat, CityGaussian, and FSGS that focus on efficient 3D rendering.
- Mamba/SSM: Includes VideoMamba and ZIGMA, showcasing innovations in video understanding and diffusion models.
- Avatars, Backbones, and CLIP: These areas explore advancements in 3D avatars, neural network architectures, and CLIP models.
- Vision Transformers and Language Models: Highlighting universal interfaces and vision-language synergy with projects like GiT and SQ-LLaVA.
- NeRF and DETR: Focusing on novel methods for neural radiance fields and object detection paradigms.
- GAN and Diffusion Models: Featuring works like ZIGMA which integrates diffusion models for improved text-to-image generation capabilities.
- Medical Imaging and Autonomous Driving: This includes pioneering work in medical image segmentation and innovations in autonomous driving technologies such as fully sparse 3D occupancy prediction.
- Image and Video Processing: There are projects addressing challenges in image denoising, super-resolution, and novel video generation methods.
- Anomaly Detection and Object Tracking: Explores methodologies for detecting anomalies and advancements in tracking moving objects visually.
- Datasets and New Tasks: Offers a glimpse into newly introduced datasets and unexplored tasks that drive future research.
Conclusion
The ECCV 2024 Papers with Code project serves as a pivotal platform that bridges the gap between academic research and practical application. By curating an updated collection of papers and their corresponding code, the project provides a valuable resource for global researchers and developers in the field of computer vision. Whether you are looking to implement cutting-edge technology or seeking inspiration for novel research, the ECCV 2024 Papers with Code repository is an indispensable stop that fosters learning, collaboration, and innovation.