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20182026
most citedForeground-aware Image Inpainting

23 citations · 32 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Aurora: Unified Video Editing with a Tool-Using Agent

Yongsheng Yu, Ziyun Zeng, Zhiyuan Xiao +4

Recent video editing models have converged on a unified conditioning design: a single diffusion transformer jointly consumes text, source video, and reference images, and one set o…

cs.CV2025

PixelDiT: Pixel Diffusion Transformers for Image Generation

Yongsheng Yu, Wei Xiong, Weili Nie +3

Latent-space modeling has been the standard for Diffusion Transformers (DiTs). However, it relies on a two-stage pipeline where the pretrained autoencoder introduces lossy reconstr…

cs.CV2025

ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration

Yongsheng Yu, Haitian Zheng, Zhifei Zhang +7

Recent progress in generative models has significantly improved image restoration capabilities, particularly through powerful diffusion models that offer remarkable recovery of sem…

cs.CV20237 cited

Photoswap: Personalized Subject Swapping in Images

Jing Gu, Yilin Wang, Nanxuan Zhao +8

In an era where images and visual content dominate our digital landscape, the ability to manipulate and personalize these images has become a necessity. Envision seamlessly substit…

cs.CV202321 cited

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Jing Shi, Wei Xiong, Zhe Lin +1

Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images. However, existing personalization approaches u…

cs.CV2020

Image Sentiment Transfer

Tianlang Chen, Wei Xiong, Haitian Zheng +1

In this work, we introduce an important but still unexplored research task -- image sentiment transfer. Compared with other related tasks that have been well-studied, such as image…