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20202026
most citedCCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

12 citations · 28 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling

Zhipeng Bao, Zhen Zhu, Nupur Kumari +4

Modern computer vision pipelines remain fragmented, with tasks such as text-to-image generation, editing, restoration, and classical perception handled by separate models. We study…

cs.CV2024

ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks

Yang Liu, Xiaomin Yu, Gongyu Zhang +5

"A data scientist is tasked with developing a low-cost surgical VQA system for a 2-month workshop. Due to data sensitivity, she collects 50 hours of surgical video from a hospital,…

cs.CV2023★ 4 cited

SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing

Zijie Wu, Chaohui Yu, Zhen Zhu +2

Recent progress in text-to-image (T2I) models enables high-quality image generation with flexible textual control. To utilize the abundant visual priors in the off-the-shelf T2I mo…

cs.CV2023★ 1 cited

Consistent Multimodal Generation via A Unified GAN Framework

Zhen Zhu, Yijun Li, Weijie Lyu +4

We investigate how to generate multimodal image outputs, such as RGB, depth, and surface normals, with a single generative model. The challenge is to produce outputs that are reali…

cs.CV2023★ 2 cited

Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis

Xudong Xie, Zhen Zhu, Zijie Wu +2

This paper aims for a new generation task: non-stationary multi-texture synthesis, which unifies synthesizing multiple non-stationary textures in a single model. Most non-stationar…

cs.CV2022★ 12 cited

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

Zijie Wu, Zhen Zhu, Junping Du +1

In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing vide…

cs.CV2021★ 5 cited

FaceController: Controllable Attribute Editing for Face in the Wild

Zhiliang Xu, Xiyu Yu, Zhibin Hong +5

Face attribute editing aims to generate faces with one or multiple desired face attributes manipulated while other details are preserved. Unlike prior works such as GAN inversion,…

cs.CV2020★ 4 cited

WDNet: Watermark-Decomposition Network for Visible Watermark Removal

Yang Liu, Zhen Zhu, Xiang Bai

Visible watermarks are widely-used in images to protect copyright ownership. Analyzing watermark removal helps to reinforce the anti-attack techniques in an adversarial way. Curren…