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20202026
most citedAn Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

472 citations · 624 across the 37 of their papers we have counts for

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5 papers · 1 filter

cs.GR2026

Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions

Etai Sella, Hao Phung, Nitay Amiel +3

Text-based 2D image editing models have recently reached an impressive level of maturity, motivating a growing body of work that heavily depends on these models to drive 3D edits.…

cs.GR2026

Untwisting RoPE: Frequency Control for Shared Attention in DiTs

Aryan Mikaeili, Or Patashnik, Andrea Tagliasacchi +2

Positional encodings are essential to transformer-based generative models, yet their behavior in multimodal and attention-sharing settings is not fully understood. In this work, we…

cs.GR2026

JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion

Anthony Chen, Naomi Ken Korem, Gal Zeevi +6

Audio-Visual Foundation Models, which are pretrained to jointly generate sound and visual content, have recently shown an unprecedented ability to model multi-modal generation and…

cs.GR2026

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization

Etai Sella, Yoav Baron, Hadar Averbuch-Elor +2

Recent diffusion-based image editing methods commonly rely on text or high-level instructions to guide the generation process, offering intuitive but coarse control. In contrast, w…

cs.GR2025

VLM-Guided Adaptive Negative Prompting for Creative Generation

Shelly Golan, Yotam Nitzan, Zongze Wu +1

Creative generation is the synthesis of new, surprising, and valuable samples that reflect user intent yet cannot be envisioned in advance. This task aims to extend human imaginati…