整理:AI算法与图像处理
CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo
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φ-SfT: Shape-from-Template with a Physics-Based Deformation Model
论文/Paper: http://arxiv.org/abs/2203.11938
代码/Code: None
Dataset Distillation by Matching Training Trajectories
论文/Paper: http://arxiv.org/abs/2203.11932
代码/Code: https://github.com/GeorgeCazenavette/mtt-distillation
GradViT: Gradient Inversion of Vision Transformers
论文/Paper: http://arxiv.org/abs/2203.11894
代码/Code: https://gradvit.github.io/
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
论文/Paper: http://arxiv.org/abs/2203.11799
代码/Code: None
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes
论文/Paper: http://arxiv.org/abs/2203.11754
代码/Code: None
Meta-attention for ViT-backed Continual Learning
论文/Paper: http://arxiv.org/abs/2203.11684
代码/Code: None
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
论文/Paper: http://arxiv.org/abs/2203.11637
代码/Code: https://github.com/soCzech/LookForTheChange
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
论文/Paper: http://arxiv.org/abs/2203.11590
代码/Code: None
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
论文/Paper: http://arxiv.org/abs/2203.11509
代码/Code: None
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
论文/Paper: http://arxiv.org/abs/2203.11496
代码/Code: https://github.com/XuyangBai/TransFusion
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
论文/Paper: http://arxiv.org/abs/2203.11483
代码/Code: None
Mixed Differential Privacy in Computer Vision
论文/Paper: http://arxiv.org/abs/2203.11481
代码/Code: None
Remember Intentions: Retrospective-Memory-based Trajectory Prediction
论文/Paper: http://arxiv.org/abs/2203.11474
代码/Code: None
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
论文/Paper: http://arxiv.org/abs/2203.11471
代码/Code: https://github.com/YxZhxn/Ray3D
Global Matching with Overlapping Attention for Optical Flow Estimation
论文/Paper: http://arxiv.org/abs/2203.11335
代码/Code: None
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
论文/Paper: http://arxiv.org/abs/2203.11283
代码/Code: None
Learning from All Vehicles
论文/Paper: http://arxiv.org/abs/2203.11934
代码/Code: https://github.com/dotchen/LAV
这篇博客整理了CVPR2022会议上的一些前沿论文及其代码实现,涵盖了视觉变形模型、训练轨迹匹配、梯度反转、真实世界图像去噪、动态场景图像恢复、持续学习、目标状态和行为学习、3D点云插值、对比学习去雨、激光雷达相机融合、实用立体匹配、计算机视觉中的混合差分隐私、轨迹预测、单目3D人体定位、光流估计、大规模场景重建、全车辆学习等多个领域的研究进展。
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