19 citations · 43 across the 13 of their papers we have counts for
15 papers
IntriAdapt: Generalizable Intrinsic-Guided Test-Time Adaptation for Metric Geometry Estimation
Jiaxing Chen, Zizheng Yan, Jingyu Zhuang +4
Recovering metric 3D geometry from images is fundamentally ill-posed due to perspective projection ambiguity. Current geometry models incorporate supplied or predicted intrinsics d…
WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images
Xiyu Zhang, Jingyu Zhuang, Hongjia Zhai +4
While feedforward 3D reconstruction excels at efficient novel view synthesis, it typically falters when faced with scenes under varying illumination. To this end, we introduce Wild…
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
Clara Xue, Zizheng Yan, Zhenning Shi +5
Live Photo captures both a high-quality key photo and a short video clip to preserve the precious dynamics around the captured moment. While users may choose alternative frames as…
IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
Xiaokang Wei, Zizheng Yan, Zhangyang Xiong +3
Estimating albedo (a.k.a., intrinsic image decomposition) from single RGB images captured in real-world environments (e.g., the MVImgNet dataset) presents a significant challenge d…
Ultra-High-Definition Reference-Based Landmark Image Super-Resolution with Generative Diffusion Prior
Zhenning Shi, Zizheng Yan, Yuhang Yu +6
Reference-based Image Super-Resolution (RefSR) aims to restore a low-resolution (LR) image by utilizing the semantic and texture information from an additional reference high-resol…
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
Haolin Liu, Xiaohang Zhan, Zizheng Yan +3
Establishing character shape correspondence is a critical and fundamental task in computer vision and graphics, with diverse applications including re-topology, attribute transfer,…
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors
Zizheng Yan, Jiapeng Zhou, Fanpeng Meng +6
Text-to-3D generation has recently seen significant progress. To enhance its practicality in real-world applications, it is crucial to generate multiple independent objects with in…
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan, Yushuang Wu, Yipeng Qin +3
In this paper, we introduce a realistic and challenging domain adaptation problem called Universal Semi-supervised Model Adaptation (USMA), which i) requires only a pre-trained sou…
SCoDA: Domain Adaptive Shape Completion for Real Scans
Yushuang Wu, Zizheng Yan, Ce Chen +6
3D shape completion from point clouds is a challenging task, especially from scans of real-world objects. Considering the paucity of 3D shape ground truths for real scans, existing…
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu, Mutian Xu, Yidan Zhang +10
Being data-driven is one of the most iconic properties of deep learning algorithms. The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer…
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Zizheng Yan, Yushuang Wu, Guanbin Li +3
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned from a fully labeled source domain to a scarcely labeled target domain. In this paper, we propose a Multi-l…
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds
Yushuang Wu, Zizheng Yan, Shengcai Cai +4
Semantic segmentation of point cloud usually relies on dense annotation that is exhausting and costly, so it attracts wide attention to investigate solutions for the weakly supervi…
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin, Zizheng Yan, Haibin Huang +4
We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis. Unlike previous methods, FPConv doesn't require transforming to intermediate r…
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint
Panwen Hu, Zizheng Yan, Rui Huang +1
Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent. In th…
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
Zizheng Yan, Xiaoguang Han, Changmiao Wang +3
Diabetic retinopathy is the most important complication of diabetes. Early diagnosis of retinal lesions helps to avoid visual loss or blindness. Due to high-resolution and small-si…