Aliaksandr Siarohin | DeepAI

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Hao Tang
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Bolei Zhou
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Peter Wonka
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Jun-Yan Zhu
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Vladislav Golyanik
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∙ 07/07/2023

AutoDecoding Latent 3D Diffusion Models

We present a novel approach to the generation of static and articulated ...

0 Evangelos Ntavelis, et al. ∙

∙ 07/06/2023

Synthesizing Artistic Cinemagraphs from Text

We introduce Text2Cinemagraph, a fully automated method for creating cin...

0 Aniruddha Mahapatra, et al. ∙

∙ 03/23/2023

Plotting Behind the Scenes: Towards Learnable Game Engines

Game engines are powerful tools in computer graphics. Their power comes ...

0 Willi Menapace, et al. ∙

∙ 03/02/2023

3D generation on ImageNet

Existing 3D-from-2D generators are typically designed for well-curated s...

0 Ivan Skorokhodov, et al. ∙

∙ 02/18/2023

Invertible Neural Skinning

Building animatable and editable models of clothed humans from raw 3D sc...

0 Yash Kant, et al. ∙

∙ 01/26/2023

Unsupervised Volumetric Animation

We propose a novel approach for unsupervised 3D animation of non-rigid d...

0 Aliaksandr Siarohin, et al. ∙

∙ 01/06/2023

3DAvatarGAN: Bridging Domains for Personalized Editable Avatars

Modern 3D-GANs synthesize geometry and texture by training on large-scal...

0 Rameen Abdal, et al. ∙

∙ 12/22/2022

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

Existing 3D-aware image synthesis approaches mainly focus on generating ...

3 Yinghao Xu, et al. ∙

∙ 08/26/2022

Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation

3D-aware GANs based on generative neural radiance fields (GNeRF) have ac...

29 Jichao Zhang, et al. ∙

∙ 03/03/2022

Playable Environments: Video Manipulation in Space and Time

We present Playable Environments - a new representation for interactive ...

2 Willi Menapace, et al. ∙

∙ 12/02/2021

3D-Aware Semantic-Guided Generative Model for Human Synthesis

Generative Neural Radiance Field (GNeRF) models, which extract implicit ...

5 Jichao Zhang, et al. ∙

∙ 05/31/2021

Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

Controllable person image generation aims to produce realistic human ima...

14 Jichao Zhang, et al. ∙

∙ 04/22/2021

Motion Representations for Articulated Animation

We propose novel motion representations for animating articulated object...

0 Aliaksandr Siarohin, et al. ∙

∙ 01/28/2021

Playable Video Generation

This paper introduces the unsupervised learning problem of playable vide...

1 Willi Menapace, et al. ∙

∙ 07/13/2020

Whitening for Self-Supervised Representation Learning

Recent literature on self-supervised learning is based on the contrastiv...

0 Aleksandr Ermolov, et al. ∙

∙ 04/19/2020

TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation

Most domain adaptation methods consider the problem of transferring know...

31 Subhankar Roy, et al. ∙

∙ 04/07/2020

Motion-supervised Co-Part Segmentation

Recent co-part segmentation methods mostly operate in a supervised learn...

1 Aliaksandr Siarohin, et al. ∙

∙ 02/29/2020

First Order Motion Model for Image Animation

Image animation consists of generating a video sequence so that an objec...

0 Aliaksandr Siarohin, et al. ∙

∙ 10/21/2019

DwNet: Dense warp-based network for pose-guided human video generation

Generation of realistic high-resolution videos of human subjects is a ch...

14 Polina Zablotskaia, et al. ∙

∙ 05/07/2019

Attention-based Fusion for Multi-source Human Image Generation

We present a generalization of the person-image generation task, in whic...

0 Stéphane Lathuilière, et al. ∙

∙ 04/30/2019

Appearance and Pose-Conditioned Human Image Generation using Deformable GANs

In this paper, we address the problem of generating person images condit...

0 Aliaksandr Siarohin, et al. ∙

∙ 03/07/2019

Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss

A classifier trained on a dataset seldom works on other datasets obtaine...

0 Subhankar Roy, et al. ∙

∙ 12/20/2018

Animating Arbitrary Objects via Deep Motion Transfer

This paper introduces a novel deep learning framework for image animatio...

18 Aliaksandr Siarohin, et al. ∙

∙ 12/03/2018

Enhancing Perceptual Attributes with Bayesian Style Generation

Deep learning has brought an unprecedented progress in computer vision a...

0 Aliaksandr Siarohin, et al. ∙

∙ 06/01/2018

Whitening and Coloring transform for GANs

Batch Normalization (BN) is a common technique used both in discriminati...

0 Aliaksandr Siarohin, et al. ∙

∙ 12/29/2017

Deformable GANs for Pose-based Human Image Generation

In this paper we address the problem of generating person images conditi...

0 Aliaksandr Siarohin, et al. ∙

∙ 04/06/2017

How to Make an Image More Memorable? A Deep Style Transfer Approach

Recent works have shown that it is possible to automatically predict int...

0 Aliaksandr Siarohin, et al. ∙

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