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pro vyhledávání: '"Pajouheshgar, Ehsan"'
Neural Cellular Automata (NCA) models are trainable variations of traditional Cellular Automata (CA). Emergent motion in the patterns created by NCA has been successfully applied to synthesize dynamic textures. However, the conditions required for an
Externí odkaz:
http://arxiv.org/abs/2404.06406
Publikováno v:
Artificial Life (ALife) 2024
Neural Cellular Automata (NCA) is a class of Cellular Automata where the update rule is parameterized by a neural network that can be trained using gradient descent. In this paper, we focus on NCA models used for texture synthesis, where the update r
Externí odkaz:
http://arxiv.org/abs/2404.06279
Autor:
Pajouheshgar, Ehsan, Xu, Yitao, Mordvintsev, Alexander, Niklasson, Eyvind, Zhang, Tong, Süsstrunk, Sabine
Texture modeling and synthesis are essential for enhancing the realism of virtual environments. Methods that directly synthesize textures in 3D offer distinct advantages to the UV-mapping-based methods as they can create seamless textures and align m
Externí odkaz:
http://arxiv.org/abs/2311.02820
Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos. However, they require a slow iterative optimization process to synthesize a single fixed-size short video, and they do not offer any post-training control over the synth
Externí odkaz:
http://arxiv.org/abs/2211.11417
Autor:
Vinker, Yael, Pajouheshgar, Ehsan, Bo, Jessica Y., Bachmann, Roman Christian, Bermano, Amit Haim, Cohen-Or, Daniel, Zamir, Amir, Shamir, Ariel
Abstraction is at the heart of sketching due to the simple and minimal nature of line drawings. Abstraction entails identifying the essential visual properties of an object or scene, which requires semantic understanding and prior knowledge of high-l
Externí odkaz:
http://arxiv.org/abs/2202.05822
Generative Adversarial Network (GAN) based localized image editing can suffer from ambiguity between semantic attributes. We thus present a novel objective function to evaluate the locality of an image edit. By introducing the supervision from a pre-
Externí odkaz:
http://arxiv.org/abs/2111.12583
Autor:
Khodadadi, Ali, Hosseini, Seyed Abbas, Pajouheshgar, Ehsan, Mansouri, Farnam, Rabiee, Hamid R.
User churn is an important issue in online services that threatens the health and profitability of services. Most of the previous works on churn prediction convert the problem into a binary classification task where the users are labeled as churned a
Externí odkaz:
http://arxiv.org/abs/1909.06868
We introduce a spatio-temporal convolutional neural network model for trajectory forecasting from visual sources. Applied in an auto-regressive way it provides an explicit probability distribution over continuations of a given initial trajectory segm
Externí odkaz:
http://arxiv.org/abs/1812.02984
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