几篇论文实现代码：
《DiGS: Divergence guided shape implicit neural representation for unoriented point clouds》(CVPR 2022) GitHub: github.com/Chumbyte/DiGS [fig3]
《Fast Lossless Neural Compression with Integer-Only Discrete Flows》(ICML 2022) GitHub: github.com/thu-ml/IODF
《GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction》(3DV 2022) GitHub: github.com/JingwenWang95/go-surf
《Camouflaged Object Detection via Context-aware Cross-level Fusion》(2022) GitHub: github.com/Ben57882/C2FNet-TSCVT [fig2]
《Towards Privacy-Preserving, Real-Time and Lossless Feature Matching》(2022) GitHub: github.com/IrvingMeng/SecureVector
《Learning to Generate Realistic LiDAR Point Clouds》(2022) GitHub: github.com/vzyrianov/lidargen
《Imitation Learning via Differentiable Physics》(2022) GitHub: github.com/sail-sg/ILD
《U-NO: U-shaped Neural Operators》(2022) GitHub: github.com/ashiq24/UNO
《Mobile-Former: Bridging MobileNet and Transformer》(2021) GitHub: github.com/AAboys/MobileFormer