research
∙
06/08/2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
This paper introduces a new large-scale image restoration dataset, calle...
share
research
∙
05/25/2023
Image is First-order Norm+Linear Autoregressive
This paper reveals that every image can be understood as a first-order n...
research
∙
03/21/2023
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
Object tracking (OT) aims to estimate the positions of target objects in...
research
∙
08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
research
∙
07/26/2022
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Large-scale multi-modal contrastive pre-training has demonstrated great ...
research
∙
06/30/2022
Semantic Image Synthesis via Diffusion Models
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkabl...
research
∙
06/12/2022
GLIPv2: Unifying Localization and Vision-Language Understanding
We present GLIPv2, a grounded VL understanding model, that serves both l...
research
∙
06/07/2022
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
Leveraging large-scale data can introduce performance gains on many comp...
research
∙
06/02/2022
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
This paper revisits visual representation in knowledge-based visual ques...
research
∙
12/09/2021
HairCLIP: Design Your Hair by Text and Reference Image
Hair editing is an interesting and challenging problem in computer visio...
research
∙
12/07/2021
Grounded Language-Image Pre-training
This paper presents a grounded language-image pre-training (GLIP) model ...
research
∙
11/24/2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
This paper explores a better codebook for BERT pre-training of vision tr...
research
∙
11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
research
∙
07/01/2021
Focal Self-attention for Local-Global Interactions in Vision Transformers
Recently, Vision Transformer and its variants have shown great promise o...
research
∙
03/29/2021
CvT: Introducing Convolutions to Vision Transformers
We present in this paper a new architecture, named Convolutional vision ...
research
∙
03/29/2021
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
This paper presents a new Vision Transformer (ViT) architecture Multi-Sc...
research
∙
05/24/2019
Mask-Guided Portrait Editing with Conditional GANs
Portrait editing is a popular subject in photo manipulation. The Generat...
research
∙
10/02/2017
Neural Color Transfer between Images
We propose a new algorithm for color transfer between images that have p...
research
∙
05/02/2017
Visual Attribute Transfer through Deep Image Analogy
We propose a new technique for visual attribute transfer across images t...
research
∙
11/23/2016
