1 code implementation • 10 May 2023 • Mustafa Işık, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner
To close the gap to production-level quality, we introduce HumanRF, a 4D dynamic neural scene representation that captures full-body appearance in motion from multi-view video input, and enables playback from novel, unseen viewpoints.
1 code implementation • 16 Jun 2022 • Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov
We present a system for realistic one-shot mesh-based human head avatars creation, ROME for short.
2 code implementations • CVPR 2021 • Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov
Existing image generator networks rely heavily on spatial convolutions and, optionally, self-attention blocks in order to gradually synthesize images in a coarse-to-fine manner.
Ranked #1 on Image Generation on Satellite-Landscapes 256 x 256
2 code implementations • CVPR 2022 • Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Timotei Ardelean, Victor Lempitsky
The second stage infers the color and the transparency values for these layers producing the final representation for novel view synthesis.
Ranked #1 on Novel View Synthesis on SWORD
1 code implementation • 4 Oct 2022 • Pavel Solovev, Taras Khakhulin, Denis Korzhenkov
We present a new method for lightweight novel-view synthesis that generalizes to an arbitrary forward-facing scene.
1 code implementation • CVPR 2020 • Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky, Gleb Sterkin
We present the high-resolution daytime translation (HiDT) model for this task.
no code implementations • ACL 2018 • Mikhail Burtsev, Alex Seliverstov, er, Rafael Airapetyan, Mikhail Arkhipov, Dilyara Baymurzina, Nickolay Bushkov, Olga Gureenkova, Taras Khakhulin, Yuri Kuratov, Denis Kuznetsov, Alexey Litinsky, Varvara Logacheva, Alexey Lymar, Valentin Malykh, Maxim Petrov, Vadim Polulyakh, Leonid Pugachev, Alexey Sorokin, Maria Vikhreva, Marat Zaynutdinov
It supports modular as well as end-to-end approaches to implementation of conversational agents.
no code implementations • WS 2018 • Valentin Malykh, Varvara Logacheva, Taras Khakhulin
We suggest a new language-independent architecture of robust word vectors (RoVe).
no code implementations • 18 Oct 2019 • Taras Khakhulin, Roman Schutski, Ivan Oseledets
We show that the agent builton GCN and trained on a single graph using an Actor-Critic method can efficiently generalize to real-world TD problem instances.
no code implementations • NeurIPS Workshop LMCA 2020 • Taras Khakhulin, Roman Schutski, Ivan Oseledets
We propose a Reinforcement Learning-based approach to approximately solve the Tree Decomposition problem.
no code implementations • 15 Jul 2022 • Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov
In this work, we advance the neural head avatar technology to the megapixel resolution while focusing on the particularly challenging task of cross-driving synthesis, i. e., when the appearance of the driving image is substantially different from the animated source image.