44 skills found · Page 1 of 2
Guaishou74851 / AdcSR(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]
YJiangcm / Lion[EMNLP 2023] Lion: Adversarial Distillation of Proprietary Large Language Models
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
mingyuanzhou / SiDPyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)
as791 / Adversarial Example Attack And DefenseThis repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
raywzy / CADCAD: Photorealistic 3D Generation via Adversarial Distillation (CVPR 2024)
AMD-AGI / Nitro 1This repo provides a working re-implementation of Latent Adversarial Diffusion Distillation by AMD
VainF / Data Free Adversarial DistillationCode and pretrained models for paper: Data-Free Adversarial Distillation
leffff / Adversarial Diffusion DistillationMy Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf
bhheo / BSS DistillationKnowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
goldblum / AdversariallyRobustDistillationPytorch implementation of Adversarially Robust Distillation (ARD)
zibojia / RSLADThis is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
MIRALab-USTC / GraphAKDThe code of paper Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu. SIGKDD 2022.
Coordi777 / ACD S2ODPMThe official implementation of the paper Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency Distillation.
2y7c3 / ASD[CVPR2024] Official Codes for "Adversarial Score Distillation: When score distillation meets GAN"
zhaoshiji123 / MTARDThe Code of ECCV2022:Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation
bzantium / Bert AADAdversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
boyellow / AdaADCode for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
da2so / Data Free Network Quantization With Adversarial Knowledge DistillationData-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
Wangzhangwei19 / Adversarial Multi DistillationImplementation of Adversarial Multi-Distillation for Automatic Modulation Recognition Models.
