Search Results for author:
Found 21 papers, 13 papers with code
UMBRAE: Unified Multimodal Decoding of Brain Signals
We address prevailing challenges of the brain-powered research, departing from the observation that the literature hardly recover accurate spatial information and require subject-specific models.
DREAM: Visual Decoding from Reversing Human Visual System
In this work we present DREAM, an fMRI-to-image method for reconstructing viewed images from brain activities, grounded on fundamental knowledge of the human visual system.
A Survey on Deep Generative 3D-aware Image Synthesis
Recent years have seen remarkable progress in deep learning powered visual content creation.
Modelling Latent Dynamics of StyleGAN using Neural ODEs
The entire sequence is seen as discrete-time observations of a continuous trajectory of the initial latent code, by considering each latent code as a moving particle and the latent space as a high-dimensional dynamic system.
Learning Quality-aware Dynamic Memory for Video Object Segmentation
However, they mainly focus on better matching between the current frame and the memory frames without explicitly paying attention to the quality of the memory.
Ranked #11 on
Semi-Supervised Video Object Segmentation
on DAVIS 2016
(using extra training data)
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality.
Ranked #1 on
Image Quality Assessment
on MSU FR VQA Database
High-fidelity GAN Inversion with Padding Space
In this work, we propose to involve the padding space of the generator to complement the latent space with spatial information.
Identity-guided Face Generation with Multi-modal Contour Conditions
Concretely, we propose a novel dual-encoder architecture, in which an identity encoder extracts the identity-related feature, accompanied by a main encoder to obtain the rough contour information and further fuse all the information together.
Real-time Human-Centric Segmentation for Complex Video Scenes
To alleviate this problem, we propose a mechanism named Inner Center Sampling to improve the accuracy of instance segmentation.
PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
This simple framework achieves an unprecedented speed and a competitive accuracy on the COCO benchmark compared with state-of-the-art methods.
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
Region-Adaptive Deformable Network for Image Quality Assessment
Image quality assessment (IQA) aims to assess the perceptual quality of images.
Coarse-to-Fine Searching for Efficient Generative Adversarial Networks
This paper studies the neural architecture search (NAS) problem for developing efficient generator networks.
Towards Open-World Text-Guided Face Image Generation and Manipulation
To be specific, we propose a brand new paradigm of text-guided image generation and manipulation based on the superior characteristics of a pretrained GAN model.
Ranked #5 on
Text-to-Image Generation
on Multi-Modal-CelebA-HQ
GAN Inversion: A Survey
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator.
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions.
Ranked #6 on
Text-to-Image Generation
on Multi-Modal-CelebA-HQ
Controllable Continuous Gaze Redirection
The encoder maps images into a well-disentangled and hierarchically-organized latent space.
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions
Most state-of-the-art semantic segmentation approaches only achieve high accuracy in good conditions.
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Image-to-image translation has drawn great attention during the past few years.
Domain Fingerprints for No-reference Image Quality Assessment
Human fingerprints are detailed and nearly unique markers of human identity.
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches
Image generation has received increasing attention because of its wide application in security and entertainment.
