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Egor Nemchinov

2 accepted papers

2026

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization

CVPR 2026

Visual concept personalization aims to transfer only specific image attributes, such as identity, expression, lighting, and style, into unseen contexts. However, existing methods rely on holistic embeddings from general-purpose image encoders, which entangle multiple visual factors and make it diffi

Cited by 0SourcecodeScholar
2025

Stable Flow: Vital Layers for Training-Free Image Editing

CVPR 2025poster

Diffusion models have revolutionized the field of content synthesis and editing. Recent models have replaced the traditional UNet architecture with the Diffusion Transformer (DiT), and employed flow-matching for improved training and sampling. However, they exhibit limited generation diversity. In t…