#ICCV 2023
Awesome-Transformer-Attention
Explore a meticulously curated repository focused on Vision Transformer and Attention, featuring comprehensive resources like papers, codes, and links to relevant websites. Maintained by Min-Hung Chen, this updated list invites contributions to enhance its comprehensiveness and includes the latest developments from major conferences such as NeurIPS 2023 and ICCV 2023. Researchers can contribute by opening issues or creating pull requests for any missed papers, ensuring a continually relevant resource for academic and enthusiast communities alike.
NeuRBF
NeuRBF represents an innovative approach to neural fields using Adaptive Radial Basis Functions for high precision and compactness. Unveiled at ICCV 2023, it offers PyTorch implementation for image and SDF fitting, alongside neural radiance field tasks. Key features include adjustable model sizing, cross-environment compatibility, and utilization of datasets such as Synthetic NeRF and LLFF. Discover our setup guide for insights into this pioneering computational methodology.
SparseBEV
SparseBEV is an advanced project focusing on sparse 3D object detection using multi-camera footage, designed for high efficiency and accuracy. The official PyTorch implementation, recognized at ICCV 2023, showcases top-tier performance on the nuScenes dataset. Its unique sparse sampling method boosts processing efficiency without sacrificing accuracy. The project also offers a model zoo for diverse benchmarking needs, and features like SparseOcc and visualization tools make it highly beneficial for developers and researchers.
ARC
Explore a novel approach in rotated object detection using adaptive rotated convolution, enhancing both performance and efficiency. Learn about the ICCV 2023 project's methodology, covering setup, data preparation, and training. Utilize pretrained models to refine detection accuracy with Oriented R-CNN models leveraging ARC-ResNet backbones.
ProPainter
Discover the latest advancements in video inpainting through ProPainter's use of efficient propagation and transformer methods. This project features capabilities such as video completion and object removal, emphasizing memory-efficient processes across well-known platforms like Hugging Face and OpenXLab. Designed for research and educational purposes, ProPainter enhances training efficiency through pre-computed optical flow, marking it as a pivotal tool in video editing and AI research.
ICCV2023-Papers-with-Code
Discover 2160 innovative papers and open-source projects presented at ICCV 2023. This collection covers a wide range of computer vision topics, including vision-language models, 3D object detection, and neural radiance fields. Perfect for researchers and enthusiasts aiming to keep abreast of the latest advancements without promotional exaggeration. Dive into past CV conference papers and engage with academic groups for in-depth discussions. Access domain-specific resources and uncover progressions in areas like self-supervised learning, image editing, and diffusion models.
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