Image-to-Image Translation
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Benchmarks
SYNTHIA-to-Cityscapes
GTAV-to-Cityscapes Labels
Cityscapes Labels-to-Photo
ADE20K Labels-to-Photos
COCO-Stuff Labels-to-Photos
IXI
CelebA-HQ
Cityscapes Photo-to-Labels
cat2dog
BCI
FLIR
LLVIP
RaFD
horse2zebra
selfie2anime
photo2vangogh
vangogh2photo
zebra2horse
AFHQ
Aerial-to-Map
Deep-Fashion
SYNTHIA Fall-to-Winter
anime-to-selfie
selfie-to-anime
BRATS
2017_test set
AFHQ (Cat to Dog)
AFHQ (Wild to Dog)
Apples and Oranges
Zebra and Horses
dog2cat
photo2portrait
portrait2photo
Most implemented
Deep Residual Learning for Image Recognition
Image-to-Image Translation with Conditional Adversarial Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Semantic Image Synthesis with Spatially-Adaptive Normalization
Papers
Distributionally Robust Schrödinger Bridge
Schrödinger bridge (SB) learns stochastic transport between prescribed initial and target distributions. When the initial distribution shifts at test time, the learned dynamics can fail to recover the target distribution…
Image-to-Image TranslationPRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation
Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired supervision. Many diffusion-based unpaired translators control preservation through a single global noise or …
Image-to-Image TranslationRTE-FM-Dehazer: Radiative Transfer Equation Inspired Flow Matching for Real-World Image Dehazing
Single-image dehazing aims to recover a clear scene from a hazy image and is generally formulated as an image-to-image translation task; however, it faces two limitations. Its performance depends heavily on the haze-form…
Image-to-Image TranslationDomain GeneralizationImage DehazingWarpI2I: Image Warping for Image-to-Image Translation
Image-to-image (I2I) translation has achieved strong results in tasks like human relighting and driving scene translation using latent diffusion models (LDMs). However, compact LDMs often struggle to preserve fine-graine…
Image-to-Image TranslationSynthetic Data GenerationImage RelightingProb-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation
AI-driven image-to-image synthesis is rapidly advancing, with growing applications in medical imaging. Multi-modal image analysis plays a crucial role in optimizing examination quality, yet acquiring multiple imaging mod…
Image-to-Image TranslationTumor SegmentationAddressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation
Latent diffusion models (LDMs) enable efficient image-to-image translation but discard fine spatial details during compression, degrading downstream perception tasks. We identify two bottlenecks: the autoencoder, which l…
Image-to-Image Translation