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Found 14 papers, 6 papers with code
MaskGIT: Masked Generative Image Transformer
At inference time, the model begins with generating all tokens of an image simultaneously, and then refines the image iteratively conditioned on the previous generation.
Ranked #2 on
Text-to-Image Generation
on LHQC
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
During inference, BLT first generates a draft layout from the input and then iteratively refines it into a high-quality layout by masking out low-confident attributes.
Pyramid Adversarial Training Improves ViT Performance
In this work, we present Pyramid Adversarial Training, a simple and effective technique to improve ViT's overall performance.
Ranked #3 on
Domain Generalization
on ImageNet-C
(using extra training data)
Palette: Image-to-Image Diffusion Models
We expect this standardized evaluation protocol to play a role in advancing image-to-image translation research.
Ranked #1 on
Image Inpainting
on Places2 val
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
We present SLIDE, a modular and unified system for single image 3D photography that uses a simple yet effective soft layering strategy to better preserve appearance details in novel views.
ViTGAN: Training GANs with Vision Transformers
Recently, Vision Transformers (ViTs) have shown competitive performance on image recognition while requiring less vision-specific inductive biases.
Ranked #31 on
Image Generation
on CIFAR-10
OCONet: Image Extrapolation by Object Completion
Existing methods struggle to extrapolate images with salient objects in the foreground or are limited to very specific objects such as humans, but tend to work well on indoor/outdoor scenes.
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Remarkable progress has been made in 3D reconstruction of rigid structures from a video or a collection of images.
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications.
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
Digital watermarking is widely used for copyright protection.
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details
Although deep learning has enabled a huge leap forward in image inpainting, current methods are often unable to synthesize realistic high-frequency details.
Distortion Agnostic Deep Watermarking
Watermarking is the process of embedding information into an image that can survive under distortions, while requiring the encoded image to have little or no perceptual difference from the original image.
SwapNet: Garment Transfer in Single View Images
Garment transfer is a challenging task that requires (i) disentangling the features of the clothing from the body pose and shape and (ii) realistic synthesis of the garment texture on the new body.
Ranked #1 on
Virtual Try-on
on FashionIQ
(using extra training data)
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
This paper introduces an automatic method for editing a portrait photo so that the subject appears to be wearing makeup in the style of another person in a reference photo.
