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：
ECCV2022 | ChunkyGAN 又一个狠活
论文：https://dcgi.fel.cvut.cz/home/sykorad/Subrtova22-ECCV.pdf 代码：https://github.com/futscdav/Chunkmogrify
ECCV2022 汇总：https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo/
摘要：
我们提出了 ChunkyGAN——一种使用生成对抗网络对图像进行建模和编辑的新范式。与先前寻求输入图像的全局潜在表示的技术不同，我们的方法将输入图像细分为一组较小的组件（块），这些组件可以手动或使用预训练的分割网络自动指定。对于每个块，由于约束数量较少，生成网络的潜在代码在本地以更高的准确度进行估计。此外，在潜码优化过程中，可以进一步细化分割以提高匹配质量。这个过程可以对原始图像进行高质量的投影，并实现以前的方法难以实现的空间解缠结。为了证明我们方法的优势，我们在各种图像编辑场景中对其进行了定量和定性评估，这些场景受益于该方法的更高重建质量和局部性质。我们的方法足够灵活，甚至可以操作使用全局技术难以重建的域外图像
最新论文整理
ECCV2022
Updated on : 28 Jul 2022
total number : 16
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
- 论文/Paper: http://arxiv.org/pdf/2207.13691
- 代码/Code: None
Shift-tolerant Perceptual Similarity Metric
- 论文/Paper: http://arxiv.org/pdf/2207.13686
- 代码/Code: http://github.com/abhijay9/ShiftTolerant-LPIPS/
Abstracting Sketches through Simple Primitives
- 论文/Paper: http://arxiv.org/pdf/2207.13543
- 代码/Code: https://github.com/ExplainableML/sketch-primitives.
AutoTransition: Learning to Recommend Video Transition Effects
- 论文/Paper: http://arxiv.org/pdf/2207.13479
- 代码/Code: url{https://github.com/acherstyx/AutoTransition}.
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
- 论文/Paper: http://arxiv.org/pdf/2207.13417
- 代码/Code: https://github.com/jiawangbai/HPT
Identifying Hard Noise in Long-Tailed Sample Distribution
- 论文/Paper: http://arxiv.org/pdf/2207.13378
- 代码/Code: https://github.com/yxymessi/H2E-Framework
Efficient Video Deblurring Guided by Motion Magnitude
- 论文/Paper: http://arxiv.org/pdf/2207.13374
- 代码/Code: None
One-Trimap Video Matting
- 论文/Paper: http://arxiv.org/pdf/2207.13353
- 代码/Code: online:https://github.com/Hongje/OTVM.
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
- 论文/Paper: http://arxiv.org/pdf/2207.13340
- 代码/Code: None
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding
- 论文/Paper: http://arxiv.org/pdf/2207.13325
- 代码/Code: None
Generator Knows What Discriminator Should Learn in Unconditional GANs
- 论文/Paper: http://arxiv.org/pdf/2207.13320
- 代码/Code: https://github.com/naver-ai/GGDR
End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement
- 论文/Paper: http://arxiv.org/pdf/2207.13268
- 代码/Code: None
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
- 论文/Paper: http://arxiv.org/pdf/2207.13259
- 代码/Code: https://github.com/MartinXM/TPS.
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
- 论文/Paper: http://arxiv.org/pdf/2207.13247
- 代码/Code: None
Online Continual Learning with Contrastive Vision Transformer
- 论文/Paper: http://arxiv.org/pdf/2207.13516
- 代码/Code: None
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
- 论文/Paper: http://arxiv.org/pdf/2207.13129
- 代码/Code: None
CVPR2022
Updated on : 28 Jul 2022
total number : 1
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation
- 论文/Paper: http://arxiv.org/pdf/2207.13316
- 代码/Code: None
