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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
InfoCNF: Efficient Conditional Continuous Normalizing Flow Using Adaptive Solvers—0
VistaDepth: Frequency Modulation With Bias Reweighting For Enhanced Long-Range Depth Estimation—0
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer—0
DT2I: Dense Text-to-Image Generation from Region Descriptions—0
Diffusion Model Compression for Image-to-Image Translation—0
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion—0
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models—0
EditAR: Unified Conditional Generation with Autoregressive Models—0
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory—0
Efficient Flow Matching using Latent Variables—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation—0
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models—0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
Weakly Supervised Keypoint Discovery—0
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
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data—0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
Lifelong GAN: Continual Learning for Conditional Image Generation—0
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models—0
Manifold Preserving Guided Diffusion—0
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation—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
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data—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
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
Generating High-Resolution Fashion Model Images Wearing Custom Outfits—0
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network—0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
MVP: Multivariate polynomials for conditional generation—0
cGANs with Conditional Convolution Layer—0
Generative Probabilistic Image Colorization—0
Generative Zoo—0
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models—0
TreeGAN: Incorporating Class Hierarchy into Image Generation—0
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models—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