39 citations · 167 across the 20 of their papers we have counts for
20 papers
Towards Practical Capture of High-Fidelity Relightable Avatars
Haotian Yang, Mingwu Zheng, Wanquan Feng +5
In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar), for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods, T…
1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation
Tao Zhang, Xingye Tian, Yikang Zhou +7
Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this report…
DVIS: Decoupled Video Instance Segmentation Framework
Tao Zhang, Xingye Tian, Yu Wu +4
Video instance segmentation (VIS) is a critical task with diverse applications, including autonomous driving and video editing. Existing methods often underperform on complex and l…
1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
Tao Zhang, Xingye Tian, Haoran Wei +6
Video panoptic segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. We believe tha…
Multi-Modal Face Stylization with a Generative Prior
Mengtian Li, Yi Dong, Minxuan Lin +3
In this work, we introduce a new approach for face stylization. Despite existing methods achieving impressive results in this task, there is still room for improvement in generatin…
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing
Wanfeng Zheng, Qiang Li, Xiaoyan Guo +2
Text-driven image manipulation is developed since the vision-language model (CLIP) has been proposed. Previous work has adopted CLIP to design a text-image consistency-based object…
ITTR: Unpaired Image-to-Image Translation with Transformers
Wanfeng Zheng, Qiang Li, Guoxin Zhang +2
Unpaired image-to-image translation is to translate an image from a source domain to a target domain without paired training data. By utilizing CNN in extracting local semantics, v…
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Linfeng Zhang, Xin Chen, Xiaobing Tu +3
Remarkable achievements have been attained with Generative Adversarial Networks (GANs) in image-to-image translation. However, due to a tremendous amount of parameters, state-of-th…
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths
Xin Wen, Peng Xiang, Zhizhong Han +4
Point cloud completion concerns to predict missing part for incomplete 3D shapes. A common strategy is to generate complete shape according to incomplete input. However, unordered…
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu +4
Most existing point cloud completion methods suffer from the discrete nature of point clouds and the unstructured prediction of points in local regions, which makes it difficult to…
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen, Junguang Jiang, Ximei Wang +3
Deep neural networks achieve remarkable performances on a wide range of tasks with the aid of large-scale labeled datasets. Yet these datasets are time-consuming and labor-exhausti…
Assessing a Single Image in Reference-Guided Image Synthesis
Jiayi Guo, Chaoqun Du, Jiangshan Wang +3
Assessing the performance of Generative Adversarial Networks (GANs) has been an important topic due to its practical significance. Although several evaluation metrics have been pro…
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Mingcong Liu, Qiang Li, Zekui Qin +3
Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity image synthesis and stylized face generation. Recently, a layer-swapping mechanism has been develo…
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu +4
Point cloud completion aims to predict a complete shape in high accuracy from its partial observation. However, previous methods usually suffered from discrete nature of point clou…
Exploring Set Similarity for Dense Self-supervised Representation Learning
Zhaoqing Wang, Qiang Li, Guoxin Zhang +5
By considering the spatial correspondence, dense self-supervised representation learning has achieved superior performance on various dense prediction tasks. However, the pixel-lev…
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Xingyu Chen, Yufeng Liu, Chongyang Ma +6
Recent years have witnessed significant progress in 3D hand mesh recovery. Nevertheless, because of the intrinsic 2D-to-3D ambiguity, recovering camera-space 3D information from a…
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
Xin Wen, Zhizhong Han, Yan-Pei Cao +3
In this paper, we present a novel unpaired point cloud completion network, named Cycle4Completion, to infer the complete geometries from a partial 3D object. Previous unpaired comp…
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
Xin Wen, Peng Xiang, Zhizhong Han +4
The task of point cloud completion aims to predict the missing part for an incomplete 3D shape. A widely used strategy is to generate a complete point cloud from the incomplete one…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…
Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps
Pengfei Wan, Gene Cheung, Philip A. Chou +3
In texture-plus-depth representation of a 3D scene, depth maps from different camera viewpoints are typically lossily compressed via the classical transform coding / coefficient qu…