Pairwise Augmented GANs with Adversarial Reconstruction Loss. - Aibek Alanov; Max Kochurov; Daniil Yashkov; Dmitry P. Vetrov (CoRR, 2018)

User-controllable Multi-texture Synthesis with Generative Adversarial Networks. - Aibek Alanov; Max Kochurov; Denis Volkhonskiy; Daniil Yashkov; Evgeny Burnaev; Dmitry P. Vetrov (VISIGRAPP (4: VISAPP), 2020)

FFC-SE: Fast Fourier Convolution for Speech Enhancement. - Ivan Shchekotov; Pavel K. Andreev; Oleg Ivanov; Aibek Alanov; Dmitry P. Vetrov (INTERSPEECH, 2022)

HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks. - Aibek Alanov; Vadim Titov; Dmitry P. Vetrov (NeurIPS, 2022)

HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement. - Pavel Andreev; Aibek Alanov; Oleg Ivanov; Dmitry P. Vetrov (CoRR, 2022)

On Scaled Methods for Saddle Point Problems. - Aleksandr Beznosikov; Aibek Alanov; Dmitry Kovalev; Martin Takác 001; Alexander V. Gasnikov (CoRR, 2022)

StyleDomain: Analysis of StyleSpace for Domain Adaptation of StyleGAN. - Aibek Alanov; Vadim Titov; Maksim Nakhodnov; Dmitry P. Vetrov (CoRR, 2022)

HIFI++: A Unified Framework for Bandwidth Extension and Speech Enhancement. - Pavel Andreev; Aibek Alanov; Oleg Ivanov; Dmitry P. Vetrov (ICASSP, 2023)

StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation. - Aibek Alanov; Vadim Titov; Maksim Nakhodnov; Dmitry P. Vetrov (ICCV, 2023)

Iterative autoregression: a novel trick to improve your low-latency speech enhancement model. - Pavel Andreev; Nicholas Babaev; Azat Saginbaev; Ivan Shchekotov; Aibek Alanov (INTERSPEECH, 2023)

Star-Shaped Denoising Diffusion Probabilistic Models. - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Viktor Ohanesian; Aibek Alanov; Dmitry P. Vetrov (NeurIPS, 2023)

Star-Shaped Denoising Diffusion Probabilistic Models. - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Aibek Alanov; Dmitry P. Vetrov (CoRR, 2023)

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing. - Denis Bobkov; Vadim Titov; Aibek Alanov; Dmitry P. Vetrov (CVPR, 2024)

Guide-and-Rescale: Self-guidance Mechanism for Effective Tuning-Free Real Image Editing. - Vadim Titov; Madina Khalmatova; Alexandra Ivanova; Dmitry P. Vetrov; Aibek Alanov (ECCV (71), 2024)

Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). - Andrey Okhotin; Dmitry Molchanov; Vladimir Arkhipkin; Grigory Bartosh; Viktor Ohanesian; Aibek Alanov; Dmitry P. Vetrov (KI, 2024)

Group and Shuffle: Efficient Structured Orthogonal Parametrization. - Mikhail Gorbunov; Nikolay Yudin; Vera Soboleva; Aibek Alanov; Alexey Naumov; Maxim Rakhuba (NeurIPS, 2024)

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach. - Maxim Nikolaev; Mikhail Kuznetsov; Dmitry P. Vetrov; Aibek Alanov (NeurIPS, 2024)

CLEAR: Character Unlearning in Textual and Visual Modalities. - Alexey Dontsov; Dmitrii Korzh; Alexey Zhavoronkin; Boris Mikheev; Denis Bobkov; Aibek Alanov; Oleg Rogov; Ivan V. Oseledets; Elena Tutubalina (ACL (Findings), 2025)

Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation. - Vera Soboleva; Maksim Nakhodnov; Aibek Alanov (CoRR, 2025)

MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models. - Kamil Garifullin; Maxim Nikolaev; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

DreamBoothDPO: Improving Personalized Generation using Direct Preference Optimization. - Shamil Ayupov; Maksim Nakhodnov; Anastasia Yaschenko; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention. - Sergey Karpukhin; Vadim Titov; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models. - Dmitrii Sorokin; Maksim Nakhodnov; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models. - Ilia Beletskii; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback. - Nina Konovalova; Maxim Nikolaev; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

T-LoRA: Single Image Diffusion Model Customization Without Overfitting. - Vera Soboleva; Aibek Alanov; Andrey Kuznetsov; Konstantin Sobolev (CoRR, 2025)

RiemannLoRA: A Unified Riemannian Framework for Ambiguity-Free LoRA Optimization. - Vladimir Bogachev; Vladimir Aletov; Alexander Molozhavenko; Denis Bobkov; Vera Soboleva; Aibek Alanov; Maxim Rakhuba (CoRR, 2025)