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Kfir Aberman

44 papers hereh-index 3112k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author27
  • last author10

Across the 43 of 44 papers where every author was matched, so the position is known.

fields
  • cs.CV35
  • cs.GR7
  • cs.AI1
  • cs.LG1
same name
  • Kfir Aberman — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedSkeleton-Aware Networks for Deep Motion Retargeting

203 citations · 580 across the 31 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention

Howard Zhang, Yuval Alaluf, Sizhuo Ma +3

Face image restoration aims to enhance degraded facial images while addressing challenges such as diverse degradation types, real-time processing demands, and, most crucially, the…

cs.CV2024

Omni-ID: Holistic Identity Representation Designed for Generative Tasks

Guocheng Qian, Kuan-Chieh Wang, Or Patashnik +5

We introduce Omni-ID, a novel facial representation designed specifically for generative tasks. Omni-ID encodes holistic information about an individual's appearance across diverse…

cs.CV2024

Stable Flow: Vital Layers for Training-Free Image Editing

Omri Avrahami, Or Patashnik, Ohad Fried +4

Diffusion models have revolutionized the field of content synthesis and editing. Recent models have replaced the traditional UNet architecture with the Diffusion Transformer (DiT),…

cs.CV2024★ 1 cited

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang +2

We introduce a new architecture for personalization of text-to-image diffusion models, coined Mixture-of-Attention (MoA). Inspired by the Mixture-of-Experts mechanism utilized in l…

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