Daniel Sýkora
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View article: StructuReiser: A Structure‐preserving Video Stylization Method
StructuReiser: A Structure‐preserving Video Stylization Method Open
We introduce StructuReiser, a novel video‐to‐video translation method that transforms input videos into stylized sequences using a set of user‐provided keyframes. Unlike most existing methods, StructuReiser strictly adheres to the structur…
View article: Diffusion Image Analogies
Diffusion Image Analogies Open
In this paper we present Diffusion Image Analogies—an example-based image editing approach that builds upon the concept of image analogies originally introduced by Hertzmann et al. [2001]. Given a pair of images that specify the intent of …
View article: Controllable Light Diffusion for Portraits
Controllable Light Diffusion for Portraits Open
We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination. Inspired by professional photographers' diffusers and scrims, our m…
View article: Neural Neighbor Style Transfer
Neural Neighbor Style Transfer Open
We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers state-of-the-art quality, generalization, and competitive efficiency for artistic style transfer. Our approach is based on explicitly replacing neural features extrac…
View article: Issue Information
Issue Information Open
s Corporate Citizenship initiative seeks to address the environmental, social, economic, and ethical challenges faced in our business and which are important to our diverse stakeholder groups.Since launching the initiative, we have focused…
View article: ChunkyGAN: Real Image Inversion via Segments
ChunkyGAN: Real Image Inversion via Segments Open
We present ChunkyGAN—a novel paradigm for modeling and editing images using generative adversarial networks. Unlike previous techniques seeking a global latent representation of the input image, our approach subdivides the input image into…
View article: STALP: Style Transfer with Auxiliary Limited Pairing
STALP: Style Transfer with Auxiliary Limited Pairing Open
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart. We demonstrate how to train an image translation network that can perform real-time semantically meaningf…
View article: Real Image Inversion via Segments
Real Image Inversion via Segments Open
In this short report, we present a simple, yet effective approach to editing real images via generative adversarial networks (GAN). Unlike previous techniques, that treat all editing tasks as an operation that affects pixel values in the e…
View article: Monster mash
Monster mash Open
We present a new framework for sketch-based modeling and animation of 3D organic shapes that can work entirely in an intuitive 2D domain, enabling a playful, casual experience. Unlike previous sketch-based tools, our approach does not requ…
View article: Interactive video stylization using few-shot patch-based training
Interactive video stylization using few-shot patch-based training Open
In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. Its key advantage is that the resulting styli…
View article: StyleBlit: Fast Example‐Based Stylization with Local Guidance
StyleBlit: Fast Example‐Based Stylization with Local Guidance Open
We present StyleBlit—an efficient example‐based style transfer algorithm that can deliver high‐quality stylized renderings in real‐time on a single‐core CPU. Our technique is especially suitable for style transfer applications that use loc…
View article: Enhancing Neural Style Transfer using Patch-Based Synthesis
Enhancing Neural Style Transfer using Patch-Based Synthesis Open
We present a new approach to example-based style transfer which combines neural methods with patch-based synthesis to achieve compelling stylization quality even for high-resolution imagery. We take advantage of neural techniques to provid…
View article: Real-Time Patch-Based Stylization of Portraits Using Generative Adversarial Network
Real-Time Patch-Based Stylization of Portraits Using Generative Adversarial Network Open
We present a learning-based style transfer algorithm for human portraits which significantly outperforms current state-of-the-art in computational overhead while still maintaining comparable visual quality. We show how to design a conditio…
View article: Seamless reconstruction of part-based high-relief models from hand-drawn images
Seamless reconstruction of part-based high-relief models from hand-drawn images Open
We present a new approach to reconstruction of high-relief surface models from hand-made drawings. Our method is tailored to an interactive modeling scenario where the input drawing can be separated into a set of semantically meaningful pa…
View article: Building Anatomically Realistic Jaw Kinematics Model from Data
Building Anatomically Realistic Jaw Kinematics Model from Data Open
This paper considers a different aspect of anatomical face modeling: kinematic modeling of the jaw, i.e., the Temporo-Mandibular Joint (TMJ). Previous work often relies on simple models of jaw kinematics, even though the actual physiologic…
View article: Understanding Mystery Behind Example-Based Image Synthesis
Understanding Mystery Behind Example-Based Image Synthesis Open
This tutorial presents a concise overview of development in the field of example-based image synthesis that over the last two decades rapidly evolved into a powerful tool enabling the production of synthetic imagery often indistinguishable…
View article: Example-based expressive animation of 2D rigid bodies
Example-based expressive animation of 2D rigid bodies Open
We present a novel approach to facilitate the creation of stylized 2D rigid body animations. Our approach can handle multiple rigid objects following complex physically-simulated trajectories with collisions, while retaining a unique artis…