conditional generative adversarial network
55 papers
Also known as
CONDITIONAL GAN
C-GAN
CGAN
Co-occurring keywords · papers mentioning both
Papers
CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
WACV 2025
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling
AAAI 2025
Zero-Shot Learning for Acoustic Event Classification Using an Attribute Vector and Conditional GAN
Interspeech 2025
A Fast and High-quality Text-to-Speech Method with Compressed Auxiliary Corpus and Limited Target Speaker Corpus
COLING 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
IJCAI 2024
Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation
MIDL 2024
Soft Curriculum for Learning Conditional GANs With Noisy-Labeled and Uncurated Unlabeled Data
WACV 2024
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability
NeurIPS 2023
PGSS: Pitch-Guided Speech Separation
AAAI 2023
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
NeurIPS 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 2022
Mining Multi-Label Samples from Single Positive Labels
NeurIPS 2022
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation
CoRL 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
NeurIPS 2022
A Unified View of cGANs with and without Classifiers
NeurIPS 2021
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
CVPR 2021
Dual Projection Generative Adversarial Networks for Conditional Image Generation
ICCV 2021
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions
CVPR 2021
Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier
WACV 2021
Omni-GAN: On the Secrets of cGANs and Beyond
ICCV 2021
Pedestrian Wind Factor Estimation in Complex Urban Environments
ACML 2021
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
NeurIPS 2021
SHAD3S: A Model to Sketch, Shade and Shadow
WACV 2021
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
NeurIPS 2021