17 citations · 17 across the 3 of their papers we have counts for
6 papers
Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
Team Kandinsky, Julia Agafonova, Bulat Akhmatov +85
We present Kandinsky 6.0 Video, a family of foundation diffusion models for synchronized text-to-audio-video generation, comprising Kandinsky 6.0 Video Lite (3B parameters) and Kan…
VIBE: Visual Instruction Based Editor
Grigorii Alekseenko, Aleksandr Gordeev, Irina Tolstykh +7
Instruction-based image editing is among the fastest developing areas in generative AI. Over the past year, the field has reached a new level, with dozens of open-source models rel…
NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh +4
Recent advances in generative modeling enable image editing assistants that follow natural language instructions without additional user input. Their supervised training requires m…
GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson +3
With the increasing quality and spread of LLM assistants, the amount of generated content is growing rapidly. In many cases and tasks, such texts are already indistinguishable from…
Saliency-Guided DETR for Moment Retrieval and Highlight Detection
Aleksandr Gordeev, Vladimir Dokholyan, Irina Tolstykh +1
Existing approaches for video moment retrieval and highlight detection are not able to align text and video features efficiently, resulting in unsatisfying performance and limited…
DDI-100: Dataset for Text Detection and Recognition
Ilia Zharikov, Filipp Nikitin, Ilia Vasiliev +1
Nowadays document analysis and recognition remain challenging tasks. However, only a few datasets designed for text detection (TD) and optical character recognition (OCR) problems…