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
ECCV2022论文和代码整理:https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo
最新成果demo展示:
SIGGRAPH 2022 | Honorable Mentions 稀疏椭偏法,重建效果接近真实物体!已开源
主页:http://vclab.kaist.ac.kr/siggraph2022p1/index.html 代码:https://github.com/KAIST-VCLAB/SparseEllipsometry
摘要:
提出了稀疏椭偏法,这是一种便携式偏振采集方法,可捕获极化 SVBRDF 和 3D 形状同时进行。我们的手持设备由现成的固定光学元件组成。每个对象的总采集时间不是几天,而是二十到三十分钟。我们开发了一个完整的偏振 SVBRDF 模型,包括漫反射和镜面反射分量,以及单次散射,并设计了一种新的偏振逆渲染算法,通过生成建模对镜面反射样本进行数据增强。我们的结果与最近捕获的真实世界对象的极化 BRDF 的grouth truth 数据集非常一致。
最新论文整理
ECCV2022
Updated on : 12 Jul 2022
total number : 18
语义分割/Segmentation - 2 篇
Personalizing Federated Medical Image Segmentation via Local Calibration
标题:通过本地校准个性化联合医学图像分割
- 论文/Paper: http://arxiv.org/pdf/2207.04655
- 代码/Code: https://github.com/jcwang123/FedLC
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
标题:2DPASS:2D先验辅助语义分割在LiDAR Point Clouds上
- 论文/Paper: http://arxiv.org/pdf/2207.04397
- 代码/Code: None
Transformers - - 2 篇
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
标题:Wave-ViT:统一的小波和Transformers用于视觉表示学习
- 论文/Paper: http://arxiv.org/pdf/2207.04978
- 代码/Code: https://github.com/YehLi/ImageNetModel
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition
标题:CoMER:基于Transformer的手写数学表达识别的建模覆盖范围
- 论文/Paper: http://arxiv.org/pdf/2207.04410
- 代码/Code: https://github.com/Green-Wood/CoMER
点云/Point Clouds - 1 篇
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
标题:2DPASS:2D先验辅助语义分割在LiDar Point Clouds上
- 论文/Paper: http://arxiv.org/pdf/2207.04397
- 代码/Code: None
深度估计/Depth Estimation - 2 篇
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
标题:最佳对抗斑块对单目深度估计的物理攻击
- 论文/Paper: http://arxiv.org/pdf/2207.04718
- 代码/Code: None
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
标题:通过整合IMU运动动力学,尺度感知,鲁棒和可概括的无监督单目估计
- 论文/Paper: http://arxiv.org/pdf/2207.04680
- 代码/Code: https://github.com/SenZHANG-GitHub/ekf-imu-depth
其他/Other - 12 篇
Demystifying Unsupervised Semantic Correspondence Estimation
标题:揭开无监督的语义对应估计
- 论文/Paper: http://arxiv.org/pdf/2207.05054
- 代码/Code: None
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
标题:Fast-VID2VID:视频与视频合成的时空压缩
- 论文/Paper: http://arxiv.org/pdf/2207.05049
- 代码/Code: https://github.com/fast-vid2vid/fast-vid2vid
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
标题:仔细观察3D视觉的自监督预训练的不变性
- 论文/Paper: http://arxiv.org/pdf/2207.04997
- 代码/Code: None
Cross-modal Prototype Driven Network for Radiology Report Generation
标题:用于放射学报告生成的跨模式原型驱动网络
- 论文/Paper: http://arxiv.org/pdf/2207.04818
- 代码/Code: None
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
标题:CCPL:多功能风格转移的对比度连贯性损失
- 论文/Paper: http://arxiv.org/pdf/2207.04808
- 代码/Code: https://github.com/JarrentWu1031/CCPL
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
标题:DCCF:高分辨率图像协调的深度可理解的颜色滤波器学习框架
- 论文/Paper: http://arxiv.org/pdf/2207.04788
- 代码/Code: None
Geometry-aware Single-image Full-body Human Relighting
标题:几何学意识到的单张全身人的重新Relighting
- 论文/Paper: http://arxiv.org/pdf/2207.04750
- 代码/Code: None
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts
标题:COO:漫画拟言数据集用于识别任意文本或截断的文本
- 论文/Paper: http://arxiv.org/pdf/2207.04675
- 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia
Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting
标题:多模式车辆轨迹预测的分层潜在结构
- 论文/Paper: http://arxiv.org/pdf/2207.04624
- 代码/Code: https://github.com/d1024choi/HLSTrajForecast
Batch-efficient EigenDecomposition for Small and Medium Matrices
标题:中小型矩阵的批处理特征分类
- 论文/Paper: http://arxiv.org/pdf/2207.04228
- 代码/Code: None
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space
标题:在特征空间中,很少有“零级设置”的形状学习签名距离功能
- 论文/Paper: http://arxiv.org/pdf/2207.04161
- 代码/Code: None
Audio-Visual Segmentation
标题:视听细分
- 论文/Paper: http://arxiv.org/pdf/2207.05042
- 代码/Code: https://github.com/OpenNLPLab/AVSBench
CVPR2022
Updated on : 12 Jul 2022
total number : 1
Instance Shadow Detection with A Single-Stage Detector
- 论文/Paper: http://arxiv.org/pdf/2207.04614
- 代码/Code: None