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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 101–150 of 286 papers

TitleStatusHype
GANimation: Anatomically-aware Facial Animation from a Single ImageCode1
Self-Attention Generative Adversarial NetworksCode1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANsCode1
Improved Training of Wasserstein GANsCode1
Conditional Image Synthesis With Auxiliary Classifier GANsCode1
Improved Techniques for Training GANsCode1
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksCode1
Context-Aware Autoregressive Models for Multi-Conditional Image Generation—0
Efficient Flow Matching using Latent Variables—0
VistaDepth: Frequency Modulation With Bias Reweighting For Enhanced Long-Range Depth Estimation—0
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling—0
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing—0
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens—0
Di[M]O: Distilling Masked Diffusion Models into One-step Generator—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models—0
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models—0
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Poisson Flow Joint Model for Multiphase contrast-enhanced CT—0
EditAR: Unified Conditional Generation with Autoregressive Models—0
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models—0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
Self-control: A Better Conditional Mechanism for Masked Autoregressive Model—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Generative Zoo—0
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer—0
High-Resolution Image Synthesis via Next-Token Prediction—0
Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models—0
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation—0
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling—0
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
Enhancing Conditional Image Generation with Explainable Latent Space ManipulationCode0
CODE: Confident Ordinary Differential EditingCode0
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory—0
Guided Latent Slot Diffusion for Object-Centric Learning—0
Representation learning with CGAN for casual inference—0
Toward a Diffusion-Based Generalist for Dense Vision Tasks—0
An Analysis on Quantizing Diffusion Transformers—0
OmniControlNet: Dual-stage Integration for Conditional Image Generation—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—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