3 citations · 5 across the 8 of their papers we have counts for
9 papers
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Recent advances in text-to-image (T2I) diffusion models have facilitated creative and photorealistic image synthesis. By varying the random seeds, we can generate many images for a…
Detecting Origin Attribution for Text-to-Image Diffusion Models
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity. These advancements have sparked research in fake image detection and attribu…
Amodal Completion via Progressive Mixed Context Diffusion
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Our brain can effortlessly recognize objects even when partially hidden from view. Seeing the visible of the hidden is called amodal completion; however, this task remains a challe…
Perceptual Artifacts Localization for Image Synthesis Tasks
Lingzhi Zhang, Zhengjie Xu, Connelly Barnes +7
Recent advancements in deep generative models have facilitated the creation of photo-realistic images across various tasks. However, these generated images often exhibit perceptual…
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Lingzhi Zhang, Shenghao Zhou, Simon Stent +1
Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's beh…
Nested Scale Editing for Conditional Image Synthesis
Lingzhi Zhang, Jiancong Wang, Yinshuang Xu +4
We propose an image synthesis approach that provides stratified navigation in the latent code space. With a tiny amount of partial or very low-resolution image, our approach can co…
Deep Image Blending
Lingzhi Zhang, Tarmily Wen, Jianbo Shi
Image composition is an important operation to create visual content. Among image composition tasks, image blending aims to seamlessly blend an object from a source image onto a ta…
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang, Jiancong Wang, Jianbo Shi
In this paper, we study the problem of generating a set ofrealistic and diverse backgrounds when given only a smallforeground region. We refer to this task as image outpaint-ing. T…
Neural Embedding for Physical Manipulations
Lingzhi Zhang, Andong Cao, Rui Li +1
In common real-world robotic operations, action and state spaces can be vast and sometimes unknown, and observations are often relatively sparse. How do we learn the full topology…