Popular GitHub Repositories for Cvprw

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 2024)

[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

[CVPRW'17, FG'17] Robust FEC-CNN: A High Accuracy Facial Landmark Detection System

[CVPRW 2024] Official Implementation of "in2IN: Leveraging individual Information to Generate Human INteractions".

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

:earth_asia:Official PyTorch implementation of "Unsupervised Change Detection Based on Image Reconstruction Loss", CVPRW 2022.

[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models (CVPRw 2024)

Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)

Official repository for the paper "Instance-wise Causal Feature Selection for Model Interpretation" (CVPRW 2021)

[CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

Official code for CVPRW-2024 paper "ReweightOOD: Loss Reweighting for Distance-based OOD Detection".