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Conditional Image Generation

Conditional image generation is the task of generating new images from a dataset conditional on their class.

( Image credit: PixelCNN++ )

Papers

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Showing 151–200 of 286 papers

TitleStatusHype
Class-Splitting Generative Adversarial NetworksCode0
CODE: Confident Ordinary Differential EditingCode0
Rebooting ACGAN: Auxiliary Classifier GANs with Stable TrainingCode0
Conditional Image Generation with PixelCNN DecodersCode0
Conditional Wasserstein Distances with Applications in Bayesian OT Flow MatchingCode0
ContraGAN: Contrastive Learning for Conditional Image GenerationCode0
CoPE: Conditional image generation using Polynomial ExpansionsCode0
A Variational U-Net for Conditional Appearance and Shape GenerationCode0
Rethinking cluster-conditioned diffusion models for label-free image synthesisCode0
Attribute2Image: Conditional Image Generation from Visual AttributesCode0
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out CodesCode0
Diverse Semantic Image Editing with Style CodesCode0
Dual Projection Generative Adversarial Networks for Conditional Image GenerationCode0
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image SynthesisCode0
Robust Conditional Generative Adversarial NetworksCode0
Enhancing Conditional Image Generation with Explainable Latent Space ManipulationCode0
Enhancing Object Coherence in Layout-to-Image SynthesisCode0
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory—0
Text to Image Synthesis Using Generative Adversarial Networks—0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation—0
Learning Disentangled Representations with Reference-Based Variational Autoencoders—0
The Neural Painter: Multi-Turn Image Generation—0
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation—0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Condition-Aware Neural Network for Controlled Image Generation—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
Lifelong GAN: Continual Learning for Conditional Image Generation—0
Consistency Regularization for Generative Adversarial Networks—0
Manifold Preserving Guided Diffusion—0
Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer—0
AniFaceDrawing: Anime Portrait Exploration during Your Sketching—0
Context-Aware Autoregressive Models for Multi-Conditional Image Generation—0
Membership Attacks on Conditional Generative Models Using Image Difficulty—0
Toward a Diffusion-Based Generalist for Dense Vision Tasks—0
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion—0
Controllable Image Synthesis via SegVAE—0
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network—0
Reference-based Variational Autoencoders—0
MVP: Multivariate polynomials for conditional generation—0
cGANs with Conditional Convolution Layer—0
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models—0
EditAR: Unified Conditional Generation with Autoregressive Models—0
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models—0
TreeGAN: Incorporating Class Hierarchy into Image Generation—0
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling—0
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation—0
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All datasetsCIFAR-10ImageNet 128x128ArtBench-10 (32x32)CIFAR-100ImageNet 64x64COCO-AnimalsImageNet 256x256CelebAMask-HQCIFAR-10 LTImageNet-LTTiny ImageNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Projection DiscriminatorFID17.5—Unverified
2BigGANFID14.73—Unverified
3CR-BigGANFID11.67—Unverified
4ContraGANFID10.3—Unverified
5NDAFID9.42—Unverified
6Splitting GANInception score8.87—Unverified
7WGAN-GPInception score8.67—Unverified
8SGANInception score8.59—Unverified
9AC-GANInception score8.25—Unverified
10Improved GANInception score8.09—Unverified
#ModelMetricClaimedVerifiedStatus
1AC-GANInception score28.5—Unverified
2Projection DiscriminatorFID27.62—Unverified
3SAGANFID18.65—Unverified
4Your Local GANFID15.94—Unverified
5HamGANFID14.8—Unverified
6FQ-GANFID13.77—Unverified
7BigGAN + instance selectionFID9.61—Unverified
8IC-GAN + DAFID9.5—Unverified
9Omni-GANFID8.3—Unverified
10ReACGANFID8.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Projected GANFID11.84—Unverified
2BigGAN + CRFID4.65—Unverified
3StyleGAN2FID4.49—Unverified
4BigGAN + DiffAugFID4.06—Unverified
5ReACGAN + DiffAugFID3.18—Unverified
6StyleGAN2 + ADAFID2.63—Unverified
#ModelMetricClaimedVerifiedStatus
1MHingeGANFID17.3—Unverified
2aw-BigGANFID10.23—Unverified
3ADC-GANFID8.12—Unverified
4TAC-GANFID7.22—Unverified
5FQ-GANFID7.15—Unverified
6DLSMFID3.86—Unverified
#ModelMetricClaimedVerifiedStatus
1FQ-GANFID9.67—Unverified
2SAGAN + instance selectionFID9.07—Unverified
3IC-GAN + DAFID6.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGANFID16.37—Unverified
2U-Net GANFID13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGAN+ [Brock et al.] (chx96)FID8.1—Unverified
2DiGITFID3.39—Unverified
#ModelMetricClaimedVerifiedStatus
1SCDMFID17.4—Unverified
#ModelMetricClaimedVerifiedStatus
1BigGAN + gSRFID12.03—Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGAN2 + NoisyTwinsFID21.29—Unverified
#ModelMetricClaimedVerifiedStatus
1ADC-GANFID19.02—Unverified