1 code implementation • 30 Jul 2023 • Chenyi Zhuang, Pan Gao, Aljosa Smolic
We then prove that StylePrompter lies in a more disentangled $\mathcal{W^+}$ and show the controllability of SMART.
1 code implementation • 16 May 2023 • Jinsong Shi, Pan Gao, Aljosa Smolic
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
no code implementations • 12 Aug 2022 • Yang Chen, Martin Alain, Aljosa Smolic
In this work, we study different sub-sampling and reconstruction strategies for light field compression.
1 code implementation • 7 Aug 2022 • Sebastian Lutz, Richard Blythman, Koustav Ghosal, Matthew Moynihan, Ciaran Simms, Aljosa Smolic
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
no code implementations • 26 Jul 2022 • Kevin Gildea, Clara Mercadal-Baudart, Richard Blythman, Aljosa Smolic, Ciaran Simms
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.
1 code implementation • 26 Jun 2022 • Koustav Ghosal, Aljosa Smolic
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.
1 code implementation • 17 Oct 2021 • Zhengwei Wang, Qi She, Aljosa Smolic
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).
no code implementations • 12 Oct 2021 • Martin Alain, Aljosa Smolic
In this paper, we study the spectral properties of re-parameterized light field.
1 code implementation • IEEE International Conference on Image Processing (ICIP) 2021 • Simone Croci, Cagri Ozcinar, Emin Zerman, Roman Dudek, Sebastian Knorr, Aljosa Smolic
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.
no code implementations • 22 Apr 2021 • Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild.
no code implementations • 24 Mar 2021 • Sebastian Lutz, Aljosa Smolic
In natural image matting, the goal is to estimate the opacity of the foreground object in the image.
1 code implementation • CVPR 2021 • Zhengwei Wang, Qi She, Aljosa Smolic
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.
no code implementations • 12 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
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.
no code implementations • 11 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
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.
no code implementations • 11 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
Limited angular resolution is one of the main obstacles for practical applications of light fields.
no code implementations • 7 Aug 2020 • Ailbhe Gill, Emin Zerman, Cagri Ozcinar, Aljosa Smolic
We conducted perception experiments displaying them to users in various ways and collected corresponding visual attention data.
1 code implementation • 3 Aug 2020 • Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke
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
1 code implementation • 20 Apr 2020 • Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic
Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses.
no code implementations • 18 Sep 2019 • Tejo Chalasani, Aljosa Smolic
Ego hand gestures can be used as an interface in AR and VR environments.
no code implementations • 6 Sep 2019 • S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogerio Eduardo da Silva, Morteza Rahbar, Aljosa Smolic
The paper presents the first-ever labelled dataset for a highly dense Aerial Laser Scanning (ALS) point cloud at city-scale.
no code implementations • 3 Sep 2019 • Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data.
no code implementations • 3 Sep 2019 • Koustav Ghosal, Mukta Prasad, Aljosa Smolic
We further introduce a two-column CNN architecture that performs better than the state-of-the-art (SoA) in photographic style classification.
1 code implementation • 29 Aug 2019 • Koustav Ghosal, Aakanksha Rana, Aljosa Smolic
Aesthetic image captioning (AIC) refers to the multi-modal task of generating critical textual feedbacks for photographs.
1 code implementation • 22 Aug 2019 • Emin Zerman, Aakanksha Rana, Aljosa Smolic
Measuring the colorfulness of a natural or virtual scene is critical for many applications in image processing field ranging from capturing to display.
1 code implementation • 12 Aug 2019 • Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic
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.
no code implementations • 12 Aug 2019 • Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frederic Dufaux, Nikos Komodakis, Aljosa Smolic
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.
no code implementations • 21 Jan 2019 • Mikael Le Pendu, Christine Guillemot, Aljosa Smolic
In this paper, we present a new Light Field representation for efficient Light Field processing and rendering called Fourier Disparity Layers (FDL).
no code implementations • 21 Sep 2018 • Rafael Monroy, Matis Hudon, Aljosa Smolic
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.
no code implementations • 16 Aug 2018 • Pierre Matysiak, Mairéad Grogan, Mikaël Le Pendu, Martin Alain, Aljosa Smolic
In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing.
no code implementations • 16 Aug 2018 • Tejo Chalasani, Jan Ondrej, Aljosa Smolic
Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience.
1 code implementation • 26 Jul 2018 • Sebastian Lutz, Konstantinos Amplianitis, Aljosa Smolic
We present the first generative adversarial network (GAN) for natural image matting.
no code implementations • 19 Sep 2017 • Rafael Monroy, Sebastian Lutz, Tejo Chalasani, Aljosa Smolic
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.