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06/01/2023
StyleDrop: Text-to-Image Generation in Any Style
Pre-trained large text-to-image models synthesize impressive images with...
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06/01/2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
We investigate the potential of learning visual representations using sy...
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06/01/2023
Learning Disentangled Prompts for Compositional Image Synthesis
We study domain-adaptive image synthesis, the problem of teaching pretra...
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04/23/2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
It is important in computational imaging to understand the uncertainty o...
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03/01/2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer
We propose Stratified Image Transformer(StraIT), a pure non-autoregressi...
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11/16/2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Generative modeling and representation learning are two key tasks in com...
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10/30/2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
We introduce CAN, a simple, efficient and scalable method for self-super...
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10/17/2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Text-conditioned image editing has recently attracted considerable inter...
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10/03/2022
Visual Prompt Tuning for Generative Transfer Learning
Transferring knowledge from an image synthesis model trained on a large ...
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09/09/2022
Improved Masked Image Generation with Token-Critic
Non-autoregressive generative transformers recently demonstrated impress...
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02/08/2022
MaskGIT: Masked Generative Image Transformer
Generative transformers have experienced rapid popularity growth in the ...
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12/09/2021
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Creating visual layouts is an important step in graphic design. Automati...
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11/30/2021
Pyramid Adversarial Training Improves ViT Performance
Aggressive data augmentation is a key component of the strong generaliza...
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11/10/2021
Palette: Image-to-Image Diffusion Models
We introduce Palette, a simple and general framework for image-to-image ...
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09/02/2021
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
Single image 3D photography enables viewers to view a still image from n...
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07/09/2021
ViTGAN: Training GANs with Vision Transformers
Recently, Vision Transformers (ViTs) have shown competitive performance ...
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05/06/2021
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Remarkable progress has been made in 3D reconstruction of rigid structur...
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04/29/2021
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for o...
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04/27/2021
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
Digital watermarking is widely used for copyright protection. Traditiona...
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04/26/2021
DVMark: A Deep Multiscale Framework for Video Watermarking
Video watermarking embeds a message into a cover video in an imperceptib...
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01/14/2020