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Found 32 papers, 13 papers with code
StylePrompter: All Styles Need Is Attention
We then prove that StylePrompter lies in a more disentangled $\mathcal{W^+}$ and show the controllability of SMART.
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token
Specifically, we firstly generate the predicted error map by pre-training one model consisting of a Transformer encoder and decoder, in which the objective difference between the distorted and the reference images is used as supervision.
Blind Image Quality Assessment
No-Reference Image Quality Assessment
+1
View Sub-sampling and Reconstruction for Efficient Light Field Compression
In this work, we study different sub-sampling and reconstruction strategies for light field compression.
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data.
Ranked #50 on
3D Human Pose Estimation
on Human3.6M
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints
With frame-by-frame IK we obtain low errors in the case of bent elbows and knees, however, motion sequences with phases of extended/straight limbs results in ambiguity in twist angle.
Image Aesthetics Assessment Using Graph Attention Network
Second, we propose a graph neural network architecture that takes this feature-graph and captures the semantic relationship between the different regions of the input image using visual attention.
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding
Video compression (e. g., H. 264, MPEG-4) reduces superfluous information by representing the raw video stream using the concept of Group of Pictures (GOP).
Spectral analysis of re-parameterized light fields
In this paper, we study the spectral properties of re-parameterized light field.
Deep Color Mismatch Correction In Stereoscopic 3D Images
Color mismatch in stereoscopic 3D (S3D) images can create visual discomfort and affect the performance of S3D image processing algorithms, e. g., for depth estimation.
Frequency Domain Loss Function for Deep Exposure Correction of Dark Images
We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild.
Foreground color prediction through inverse compositing
In natural image matting, the goal is to estimate the opacity of the foreground object in the image.
ACTION-Net: Multipath Excitation for Action Recognition
To this end, we propose a spAtio-temporal, Channel and moTion excitatION (ACTION) module consisting of three paths: Spatio-Temporal Excitation (STE) path, Channel Excitation (CE) path, and Motion Excitation (ME) path.
Self-supervised Light Field View Synthesis Using Cycle Consistency
In order to enhance the angular resolution of light fields, view synthesis methods can be utilized to generate dense intermediate views from sparse light field input.
A Study of Efficient Light Field Subsampling and Reconstruction Strategies
Limited angular resolution is one of the main obstacles for practical applications of light fields.
Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields
Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much more information about the angular direction of light rays compared to common approaches based on stereoscopic images or multi-view.
A Study on Visual Perception of Light Field Content
We conducted perception experiments displaying them to users in various ways and collected corresponding visual attention data.
Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution
To tackle this problem, in this paper, we study reducing the number of parameters and computational cost of CNN-based SISR methods while maintaining the accuracy of super-resolution reconstruction performance.
Ranked #2 on
Image Super-Resolution
on BSDS100 - 2x upscaling
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses.
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Ego hand gestures can be used as an interface in AR and VR environments.
DublinCity: Annotated LiDAR Point Cloud and its Applications
The paper presents the first-ever labelled dataset for a highly dense Aerial Laser Scanning (ALS) point cloud at city-scale.
STaDA: Style Transfer as Data Augmentation
The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data.
A Geometry-Sensitive Approach for Photographic Style Classification
We further introduce a two-column CNN architecture that performs better than the state-of-the-art (SoA) in photographic style classification.
Aesthetic Image Captioning From Weakly-Labelled Photographs
Aesthetic image captioning (AIC) refers to the multi-modal task of generating critical textual feedbacks for photographs.
ColorNet -- Estimating Colorfulness in Natural Images
Measuring the colorfulness of a natural or virtual scene is critical for many applications in image processing field ranging from capturing to display.
Super-resolution of Omnidirectional Images Using Adversarial Learning
An omnidirectional image (ODI) enables viewers to look in every direction from a fixed point through a head-mounted display providing an immersive experience compared to that of a standard image.
Deep Tone Mapping Operator for High Dynamic Range Images
In this paper, we address this problem by proposing a fast, parameter-free and scene-adaptable deep tone mapping operator (DeepTMO) that yields a high-resolution and high-subjective quality tone mapped output.
A Fourier Disparity Layer representation for Light Fields
In this paper, we present a new Light Field representation for efficient Light Field processing and rendering called Fourier Disparity Layers (FDL).
Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices
In this work, we present a novel pipeline that allows for coupled environment acquisition and virtual object rendering on a mobile device equipped with a depth sensor.
Egocentric Gesture Recognition for Head-Mounted AR devices
Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience.
A Pipeline for Lenslet Light Field Quality Enhancement
In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing.
AlphaGAN: Generative adversarial networks for natural image matting
We present the first generative adversarial network (GAN) for natural image matting.
SalNet360: Saliency Maps for omni-directional images with CNN
The prediction of Visual Attention data from any kind of media is of valuable use to content creators and used to efficiently drive encoding algorithms.
