synse-zslOfficial PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'
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tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
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Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
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path planning GANPath Planning using Generative Adversarial Network (GAN)
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MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
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coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+489.36%)
SMILESMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
Stars: ✭ 28 (-40.43%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
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speech-enhancement-WGANspeech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
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PESROfficial code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
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Anime2SketchA sketch extractor for anime/illustration.
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Deep-FakesNo description or website provided.
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Zero-Shot-TTSUnofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
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text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
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Squeeze-and-Recursion-Temporal-GatesCode for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
Stars: ✭ 62 (+31.91%)
Action-LocalizationAction-Localization, Atomic Visual Actions (AVA) Dataset
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conv3d-video-action-recognitionMy experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…
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simpleganTensorflow-based framework to ease training of generative models
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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FAST-RIRThis is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
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MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
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MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
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ViCC[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.
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bmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
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Openpose-based-GUI-for-Realtime-Pose-Estimate-and-Action-RecognitionGUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.
Stars: ✭ 69 (+46.81%)
dynamic-images-for-action-recognitionA public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.
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timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
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Sketch2Color-anime-translationGiven a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
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MMD-GANImproving MMD-GAN training with repulsive loss function
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text2imageNetGenerate image from text with Generative Adversarial Network
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ST-CGANDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
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DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
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DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
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Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
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hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
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binaryganCode for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
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SDGymBenchmarking synthetic data generation methods.
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GAN-LTH[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
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TF2-GAN🐳 GAN implemented as Tensorflow 2.X
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
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HashGANHashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
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DiscoGAN-TFTensorflow Implementation of DiscoGAN
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Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
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MSAFOffical implementation of paper "MSAF: Multimodal Split Attention Fusion"
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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MUSES[CVPR 2021] Multi-shot Temporal Event Localization: a Benchmark
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CIPS-3D3D-aware GANs based on NeRF (arXiv).
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TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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BPPNet-Back-Projected-Pyramid-NetworkThis is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"
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pytorch-GANMy pytorch implementation for GAN
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gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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