DsglSheng/CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

CVPR 2023 论文和开源项目合集(Papers with Code)

CVPR 2023 论文和开源项目合集(papers with code)！

25.78% = 2360 / 9155

CVPR2023 decisions are now available on OpenReview! This year, wereceived a record number of 9155 submissions (a 12% increase over CVPR2022), and accepted 2360 papers, for a 25.78% acceptance rate.

注1：欢迎各位大佬提交issue，分享CVPR 2023论文和开源项目！

注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

• CVPR 2019
• CVPR 2020
• CVPR 2021
• CVPR 2022

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【CVPR 2023 论文开源目录】

• Backbone
• CLIP
• MAE
• GAN
• GNN
• MLP
• NAS
• OCR
• NeRF
• DETR
• Diffusion Models(扩散模型)
• 长尾分布(Long-Tail)
• Vision Transformer
• 视觉和语言(Vision-Language)
• 自监督学习(Self-supervised Learning)
• 数据增强(Data Augmentation)
• 目标检测(Object Detection)
• 目标跟踪(Visual Tracking)
• 语义分割(Semantic Segmentation)
• 实例分割(Instance Segmentation)
• 全景分割(Panoptic Segmentation)
• 图像抠图(Image Matting)
• 视频理解(Video Understanding)
• 图像编辑(Image Editing)
• Low-level Vision
• 超分辨率(Super-Resolution)
• 去模糊(Deblur)
• 3D点云(3D Point Cloud)
• 3D目标检测(3D Object Detection)
• 3D语义分割(3D Semantic Segmentation)
• 3D目标跟踪(3D Object Tracking)
• 3D人体姿态估计(3D Human Pose Estimation)
• 3D语义场景补全(3D Semantic Scene Completion)
• 3D重建(3D Reconstruction)
• 医学图像(Medical Image)
• [视频生成(Video Generation)](#Video Generation)
• 知识蒸馏(Knowledge Distillation)
• 数据集(Datasets)
• 新任务(New Tasks)
• 其他(Others)

Backbone

Integrally Pre-Trained Transformer Pyramid Networks

• Paper: https://arxiv.org/abs/2211.12735
• Code: https://github.com/sunsmarterjie/iTPN

Stitchable Neural Networks

• Homepage: https://snnet.github.io/
• Paper: https://arxiv.org/abs/2302.06586
• Code: https://github.com/ziplab/SN-Net

MAE

Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

• Paper: https://arxiv.org/abs/2212.06785
• Code: https://github.com/ZrrSkywalker/I2P-MAE

NeRF

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

• Home: https://nope-nerf.active.vision/
• Paper: https://arxiv.org/abs/2212.07388
• Code: None

DETR

DETRs with Hybrid Matching

• Paper: https://arxiv.org/abs/2207.13080
• Code: https://github.com/HDETR

NAS

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS

• Paper: https://arxiv.org/abs/2302.14772
• Code: https://github.com/ShunLu91/PA-DA

Diffusion Models(扩散模型)

Video Probabilistic Diffusion Models in Projected Latent Space

• Homepage: https://sihyun.me/PVDM/
• Paper: https://arxiv.org/abs/2302.07685
• Code: https://github.com/sihyun-yu/PVDM

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

• Paper: https://arxiv.org/abs/2211.10655
• Code: None

Vision Transformer

Integrally Pre-Trained Transformer Pyramid Networks

• Paper: https://arxiv.org/abs/2211.12735
• Code: https://github.com/sunsmarterjie/iTPN

视觉和语言(Vision-Language)

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

• Paper: https://arxiv.org/abs/2301.01893
• Code: None

目标检测(Object Detection)

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

• Paper: https://arxiv.org/abs/2207.02696
• Code: https://github.com/WongKinYiu/yolov7

DETRs with Hybrid Matching

• Paper: https://arxiv.org/abs/2207.13080
• Code: https://github.com/HDETR

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

• Paper: https://arxiv.org/abs/2212.07593
• Code: https://github.com/Fangyi-Chen/SQR

知识蒸馏(Knowledge Distillation)

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

• Paper: https://arxiv.org/abs/2302.14290
• Code: None

其他(Others)

Interactive Segmentation as Gaussian Process Classification

• Paper: https://arxiv.org/abs/2302.14578
• Code: None

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger

• Paper: https://arxiv.org/abs/2302.14677
• Code: None