1.5k citations · 1.6k across the 41 of their papers we have counts for
42 papers
Improving Complex Moiré Removal with Generative Supervision
Xinyang Gu, Zhilu Zhang, Honglei Xu +3
The availability of high-quality paired data is essential for training learning-based image demoiréing models. However, it remains challenging for existing datasets to encompass th…
GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring
Mingyang Chen, Zhilu Zhang, Honglei Xu +3
High-quality, large-scale paired data is essential for training learning-based image deblurring models. However, synthetic blurry images generally lack realism, while real-world ca…
Typical entanglement in anyon chains: Page curves beyond Lie group symmetries
Yale Yauk, Lucas Hackl, Alexander Hahn
We study bipartite entanglement statistics in one-dimensional anyon chains, whose Hilbert spaces are constrained by fusion rules of unitary pre-modular categories. Our setup genera…
PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis
Yu Yang, Zhilu Zhang, Xiang Zhang +3
Interactive world models that simulate object dynamics are crucial for robotics, VR, and AR. However, it remains a significant challenge to learn physics-consistent dynamics models…
Contextual Learning for Anomaly Detection in Tabular Data
Spencer King, Zhilu Zhang, Ruofan Yu +3
Anomaly detection is critical in domains such as cybersecurity and finance, especially when working with large-scale tabular data. Yet, unsupervised anomaly detection-where no labe…
MDIQA: Unified Image Quality Assessment for Multi-dimensional Evaluation and Restoration
Shunyu Yao, Ming Liu, Zhilu Zhang +4
Recent advancements in image quality assessment (IQA), driven by sophisticated deep neural network designs, have significantly improved the ability to approach human perceptions. H…
MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
Haoyu Wang, Hao Tang, Donglin Di +5
Existing video generation models predominantly emphasize appearance fidelity while exhibiting limited ability to synthesize complex human motions, such as whole-body movements, lon…
SelfHVD: Self-Supervised Handheld Video Deblurring
Honglei Xu, Zhilu Zhang, Junjie Fan +2
Shooting video with handheld shooting devices often results in blurry frames due to shaking hands and other instability factors. Although previous video deblurring methods have ach…
Image Demoiréing Using Dual Camera Fusion on Mobile Phones
Yanting Mei, Zhilu Zhang, Xiaohe Wu +1
When shooting electronic screens, moiré patterns usually appear in captured images, which seriously affects the image quality. Existing image demoiréing methods face great challeng…
Pseudo-Label Guided Real-World Image De-weathering: A Learning Framework with Imperfect Supervision
Heming Xu, Xiaohui Liu, Zhilu Zhang +3
Real-world image de-weathering aims at removingvarious undesirable weather-related artifacts, e.g., rain, snow,and fog. To this end, acquiring ideal training pairs is crucial.Exist…
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
Jingbo Lin, Zhilu Zhang, Wenbo Li +4
Recently, considerable progress has been made in all-in-one image restoration. Generally, existing methods can be degradation-agnostic or degradation-aware. However, the former are…
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen +2
Recent 4D reconstruction methods have yielded impressive results but rely on sharp videos as supervision. However, motion blur often occurs in videos due to camera shake and object…
DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors
Tianyu Huang, Haoze Zhang, Yihan Zeng +4
Dynamic 3D interaction has been attracting a lot of attention recently. However, creating such 4D content remains challenging. One solution is to animate 3D scenes with physics-bas…
Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
Zhilu Zhang, Ruohao Wang, Hongzhi Zhang +1
In this paper, we consider two challenging issues in reference-based super-resolution (RefSR) for smartphone, (i) how to choose a proper reference image, and (ii) how to learn RefS…
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
Haoyu Wang, Zhilu Zhang, Donglin Di +2
The goal of image-based virtual try-on is to generate an image of the target person naturally wearing the given clothing. However, existing methods solely focus on the frontal try-…
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
Rongjian Xu, Zhilu Zhang, Renlong Wu +1
Despite the significant progress in image denoising, it is still challenging to restore fine-scale details while removing noise, especially in extremely low-light environments. Lev…
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
Junyi Li, Zhilu Zhang, Wangmeng Zuo
Blind-spot networks (BSN) have been prevalent neural architectures in self-supervised image denoising (SSID). However, most existing BSNs are conducted with convolution layers. Alt…
Dual-Camera Smooth Zoom on Mobile Phones
Renlong Wu, Zhilu Zhang, Yu Yang +1
When zooming between dual cameras on a mobile, noticeable jumps in geometric content and image color occur in the preview, inevitably affecting the user's zoom experience. In this…
Self-Supervised Video Desmoking for Laparoscopic Surgery
Renlong Wu, Zhilu Zhang, Shuohao Zhang +5
Due to the difficulty of collecting real paired data, most existing desmoking methods train the models by synthesizing smoke, generalizing poorly to real surgical scenarios. Althou…
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu +2
It is highly desired but challenging to acquire high-quality photos with clear content in low-light environments. Although multi-image processing methods (using burst, dual-exposur…
Improving Image Restoration through Removing Degradations in Textual Representations
Jingbo Lin, Zhilu Zhang, Yuxiang Wei +3
In this paper, we introduce a new perspective for improving image restoration by removing degradation in the textual representations of a given degraded image. Intuitively, restora…
DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
Tianyu Huang, Yihan Zeng, Zhilu Zhang +5
3D generation has raised great attention in recent years. With the success of text-to-image diffusion models, the 2D-lifting technique becomes a promising route to controllable 3D…
Learning Real-World Image De-Weathering with Imperfect Supervision
Xiaohui Liu, Zhilu Zhang, Xiaohe Wu +4
Real-world image de-weathering aims at removing various undesirable weather-related artifacts. Owing to the impossibility of capturing image pairs concurrently, existing real-world…
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
Zhilu Zhang, Haoyu Wang, Shuai Liu +3
Merging multi-exposure images is a common approach for obtaining high dynamic range (HDR) images, with the primary challenge being the avoidance of ghosting artifacts in dynamic sc…