26 citations · 65 across the 23 of their papers we have counts for
6 papers · 1 filter
Scale-wise Distillation of Diffusion Models
Nikita Starodubcev, Ilya Drobyshevskiy, Denis Kuznedelev +2
Recent diffusion distillation methods have achieved remarkable progress, enabling high-quality -step sampling for large-scale text-conditional image and video diffusion mo…
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Anton Voronov, Denis Kuznedelev, Mikhail Khoroshikh +2
This work presents Switti, a scale-wise transformer for text-to-image generation. We start by adapting an existing next-scale prediction autoregressive (AR) architecture to T2I gen…
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization
Vage Egiazarian, Denis Kuznedelev, Anton Voronov +5
Text-to-image diffusion models have emerged as a powerful framework for high-quality image generation given textual prompts. Their success has driven the rapid development of produ…
YaART: Yet Another ART Rendering Technology
Sergey Kastryulin, Artem Konev, Alexander Shishenya +20
In the rapidly progressing field of generative models, the development of efficient and high-fidelity text-to-image diffusion systems represents a significant frontier. This study…
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh +4
Recent vision architectures and self-supervised training methods enable vision models that are extremely accurate and general, but come with massive parameter and computational cos…
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Denis Kuznedelev, Eldar Kurtic, Elias Frantar +1
Driven by significant improvements in architectural design and training pipelines, computer vision has recently experienced dramatic progress in terms of accuracy on classic benchm…