research
∙
06/09/2023
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
Generating realistic human 3D reconstructions using image or video data ...
share
research
∙
03/17/2023
MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video
We present a new approach for learning Mobile Realistic Fullbody (MoRF) ...
research
∙
03/16/2023
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
We present DINAR, an approach for creating realistic rigged fullbody ava...
research
∙
09/07/2022
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions
We present an approach for the reconstruction of textured 3D meshes of h...
research
∙
07/15/2022
MegaPortraits: One-shot Megapixel Neural Head Avatars
In this work, we advance the neural head avatar technology to the megapi...
research
∙
06/16/2022
Realistic One-shot Mesh-based Head Avatars
We present a system for realistic one-shot mesh-based human head avatars...
research
∙
03/24/2022
NPBG++: Accelerating Neural Point-Based Graphics
We present a new system (NPBG++) for the novel view synthesis (NVS) task...
research
∙
01/13/2022
Stereo Magnification with Multi-Layer Images
Representing scenes with multiple semi-transparent colored layers has be...
research
∙
09/15/2021
Resolution-robust Large Mask Inpainting with Fourier Convolutions
Modern image inpainting systems, despite the significant progress, often...
research
∙
05/05/2021
Perceptual Gradient Networks
Many applications of deep learning for image generation use perceptual l...
research
∙
04/16/2021
StylePeople: A Generative Model of Fullbody Human Avatars
We propose a new type of full-body human avatars, which combines paramet...
research
∙
04/16/2021
Point-Based Modeling of Human Clothing
We propose a new approach to human clothing modeling based on point clou...
research
∙
03/05/2021
Real-time RGBD-based Extended Body Pose Estimation
We present a system for real-time RGBD-based estimation of 3D human pose...
research
∙
01/27/2021
CNN with large memory layers
This work is centred around the recently proposed product key memory str...
research
∙
12/17/2020
Relightable 3D Head Portraits from a Smartphone Video
In this work, a system for creating a relightable 3D portrait of a human...
research
∙
11/27/2020
Image Generators with Conditionally-Independent Pixel Synthesis
Existing image generator networks rely heavily on spatial convolutions a...
research
∙
09/06/2020
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer
We propose and evaluate a neural point-based graphics method that can mo...
research
∙
08/24/2020
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
We propose a neural rendering-based system that creates head avatars fro...
research
∙
08/21/2020
DeepLandscape: Adversarial Modeling of Landscape Video
We build a new model of landscape videos that can be trained on a mixtur...
research
∙
07/22/2020
Cloud Transformers
We present a new versatile building block for deep point cloud processin...
research
∙
04/24/2020
Neural Head Reenactment with Latent Pose Descriptors
We propose a neural head reenactment system, which is driven by a latent...
research
∙
03/19/2020
High-Resolution Daytime Translation Without Domain Labels
Modeling daytime changes in high resolution photographs, e.g., re-render...
research
∙
06/29/2019
Stereo relative pose from line and point feature triplets
Stereo relative pose problem lies at the core of stereo visual odometry ...
research
∙
06/19/2019
Neural Point-Based Graphics
We present a new point-based approach for modeling complex scenes. The a...
research
∙
05/21/2019
Textured Neural Avatars
We present a system for learning full-body neural avatars, i.e. deep net...
research
∙
05/20/2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Several recent works have shown how highly realistic human head images c...
research
∙
05/14/2019
Learnable Triangulation of Human Pose
We present two novel solutions for multi-view 3D human pose estimation b...
research
∙
04/10/2019
Instance Segmentation of Biological Images Using Harmonic Embeddings
We present a new instance segmentation approach tailored to biological i...
research
∙
04/03/2019
Hyperbolic Image Embeddings
Computer vision tasks such as image classification, image retrieval and ...
research
∙
11/28/2018
Coordinate-based Texture Inpainting for Pose-Guided Image Generation
We present a new deep learning approach to pose-guided resynthesis of hu...
research
∙
09/05/2018
Image Manipulation with Perceptual Discriminators
Systems that perform image manipulation using deep convolutional network...
research
∙
07/26/2018
Instance Segmentation by Deep Coloring
We propose a new and, arguably, a very simple reduction of instance segm...
research
∙
06/16/2018
Latent Convolutional Models
We present a new latent model of natural images that can be learned on l...
research
∙
06/13/2018
Impostor Networks for Fast Fine-Grained Recognition
In this work we introduce impostor networks, an architecture that allows...
research
∙
11/29/2017
Deep Image Prior
Deep convolutional networks have become a popular tool for image generat...
research
∙
10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
research
∙
04/07/2017
It Takes (Only) Two: Adversarial Generator-Encoder Networks
We present a new autoencoder-type architecture that is trainable in an u...
research
∙
04/04/2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
We present a new deep learning architecture (called Kd-network) that is ...
research
∙
01/09/2017
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
The recent work of Gatys et al., who characterized the style of an image...
research
∙
12/19/2016
Parsing Images of Overlapping Organisms with Deep Singling-Out Networks
This work is motivated by the mostly unsolved task of parsing biological...
research
∙
11/17/2016
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
We present a new deep learning-based approach for dense stereo matching....
research
∙
11/02/2016
Learning Deep Embeddings with Histogram Loss
We suggest a loss for learning deep embeddings. The new loss does not in...
research
∙
10/28/2016
Learnable Visual Markers
We propose a new approach to designing visual markers (analogous to QR-c...
research
∙
07/27/2016
Instance Normalization: The Missing Ingredient for Fast Stylization
It this paper we revisit the fast stylization method introduced in Ulyan...
research
∙
07/25/2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
In this work, we consider the task of generating highly-realistic images...
research
∙
06/05/2016
Pairwise Quantization
We consider the task of lossy compression of high-dimensional vectors th...
research
∙
03/10/2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Gatys et al. recently demonstrated that deep networks can generate beaut...
research
∙
12/16/2015
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification
In this work we propose a new architecture for person re-identification....
research
∙
06/08/2015
Fast ConvNets Using Group-wise Brain Damage
We revisit the idea of brain damage, i.e. the pruning of the coefficient...
research
∙
05/28/2015
