34 citations · 83 across the 13 of their papers we have counts for
13 papers
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images
Weichen Zhang, Xiang Zhou, Yukang Cao +2
We address the problem of photorealistic 3D face avatar synthesis from sparse images. Existing Parametric models for face avatar reconstruction struggle to generate details that or…
WT-MVSNet: Window-based Transformers for Multi-view Stereo
Jinli Liao, Yikang Ding, Yoli Shavit +5
Recently, Transformers were shown to enhance the performance of multi-view stereo by enabling long-range feature interaction. In this work, we propose Window-based Transformers (WT…
Adversarial Learning of Hard Positives for Place Recognition
Wenxuan Fang, Kai Zhang, Yoli Shavit +1
Image retrieval methods for place recognition learn global image descriptors that are used for fetching geo-tagged images at inference time. Recent works have suggested employing w…
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
Yan Shi, Jun-Xiong Cai, Yoli Shavit +3
Graph Neural Networks (GNNs) with attention have been successfully applied for learning visual feature matching. However, current methods learn with complete graphs, resulting in a…
Crowd Source Scene Change Detection and Local Map Update
Itzik Wilf, Nati Daniel, Lin Manqing +4
As scene changes with time map descriptors become outdated, affecting VPS localization accuracy. In this work, we propose an approach to detect structural and texture scene changes…
Controllable Continuous Gaze Redirection
Weihao Xia, Yujiu Yang, Jing-Hao Xue +1
In this work, we present interpGaze, a novel framework for controllable gaze redirection that achieves both precise redirection and continuous interpolation. Given two gaze images…
Learning Generic Diffusion Processes for Image Restoration
Peng Qiao, Yong Dou, Yunjin Chen +1
Image restoration problems are typical ill-posed problems where the regularization term plays an important role. The regularization term learned via generative approaches is easy t…
Speckle Reduction with Trained Nonlinear Diffusion Filtering
Wensen Feng, Yunjin Chen
Speckle reduction is a prerequisite for many image processing tasks in synthetic aperture radar (SAR) images, as well as all coherent images. In recent years, predominant state-of-…
Learning Non-local Image Diffusion for Image Denoising
Peng Qiao, Yong Dou, Wensen Feng +1
Image diffusion plays a fundamental role for the task of image denoising. Recently proposed trainable nonlinear reaction diffusion (TNRD) model defines a simple but very effective…
Image Denoising via Multi-scale Nonlinear Diffusion Models
Wensen Feng, Peng Qiao, Xuanyang Xi +1
Image denoising is a fundamental operation in image processing and holds considerable practical importance for various real-world applications. Arguably several thousands of papers…
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Wensen Feng, Hong Qiao, Yunjin Chen
Poisson denoising is an essential issue for various imaging applications, such as night vision, medical imaging and microscopy. State-of-the-art approaches are clearly dominated by…
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion
Wensen Feng, Yunjin Chen
The degradation of the acquired signal by Poisson noise is a common problem for various imaging applications, such as medical imaging, night vision and microscopy. Up to now, many…
A higher-order MRF based variational model for multiplicative noise reduction
Yunjin Chen, Wensen Feng, René Ranftl +2
The Fields of Experts (FoE) image prior model, a filter-based higher-order Markov Random Fields (MRF) model, has been shown to be effective for many image restoration problems. Mot…