Search Results for author: Cheng Lin

Found 29 papers, 11 papers with code

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

no code implementations4 Dec 2024 Jiahao Lu, Tianyu Huang, Peng Li, Zhiyang Dou, Cheng Lin, Zhiming Cui, Zhen Dong, Sai-Kit Yeung, Wenping Wang, YuAn Liu

Recent developments in monocular depth estimation methods enable high-quality depth estimation of single-view images but fail to estimate consistent video depth across different frames.

NASM: Neural Anisotropic Surface Meshing

no code implementations30 Oct 2024 Hongbo Li, Haikuan Zhu, Sikai Zhong, Ningna Wang, Cheng Lin, Xiaohu Guo, Shiqing Xin, Wenping Wang, Jing Hua, Zichun Zhong

To our knowledge, this is the first time that a deep learning framework and a large dataset are proposed to construct a high-d Euclidean embedding space for 3D anisotropic surface meshing.

Graph Neural Network

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models

no code implementations18 Aug 2024 Cheng Lin, Lujun Li, Dezhi Li, Jie Zou, Wei Xue, Yike Guo

This approach allows the model to more precisely adapt to specific tasks while maintaining a compact parameter space.

Model Optimization parameter-efficient fine-tuning

Domain-invariant Representation Learning via Segment Anything Model for Blood Cell Classification

1 code implementation14 Aug 2024 Yongcheng Li, Lingcong Cai, Ying Lu, Cheng Lin, Yupeng Zhang, Jingyan Jiang, Genan Dai, BoWen Zhang, Jingzhou Cao, Xiangzhong Zhang, Xiaomao Fan

To address this issue, we propose a novel framework of domain-invariant representation learning (DoRL) via segment anything model (SAM) for blood cell classification.

Representation Learning

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image

no code implementations26 Jun 2024 Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, YuAn Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu

The first and only method for hand-face interaction recovery, Decaf, introduces a global fitting optimization guided by contact and deformation estimation networks trained on studio-collected data with 3D annotations.

DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models

no code implementations27 May 2024 Yuqing Zhang, YuAn Liu, Zhiyu Xie, Lei Yang, Zhongyuan Liu, Mengzhou Yang, Runze Zhang, Qilong Kou, Cheng Lin, Wenping Wang, Xiaogang Jin

2D diffusion model, which often contains unwanted baked-in shading effects and results in unrealistic rendering effects in the downstream applications.

Part123: Part-aware 3D Reconstruction from a Single-view Image

no code implementations27 May 2024 Anran Liu, Cheng Lin, YuAn Liu, Xiaoxiao Long, Zhiyang Dou, Hao-Xiang Guo, Ping Luo, Wenping Wang

However, all the existing methods represent the target object as a closed mesh devoid of any structural information, thus neglecting the part-based structure, which is crucial for many downstream applications, of the reconstructed shape.

3D Part Segmentation 3D Reconstruction +3

Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

no code implementations19 May 2024 Peng Li, YuAn Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo

Specifically, these methods assume that the input images should comply with a predefined camera type, e. g. a perspective camera with a fixed focal length, leading to distorted shapes when the assumption fails.

Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images

no code implementations8 Feb 2024 Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng, Beiwen Tian, Cheng Lin, Lingjie Liu, Hao Zhao, Guyue Zhou, Wenping Wang

We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context.

3D geometry Depth Estimation

Disentangled Clothed Avatar Generation from Text Descriptions

no code implementations8 Dec 2023 Jionghao Wang, YuAn Liu, Zhiyang Dou, Zhengming Yu, Yongqing Liang, Cheng Lin, Xin Li, Wenping Wang, Rong Xie, Li Song

In this paper, we introduce a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar.

Virtual Try-on

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

1 code implementation CVPR 2024 Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin, YuAn Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, Wenping Wang

In this work, we introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images. Recent methods based on Score Distillation Sampling (SDS) have shown the potential to recover 3D geometry from 2D diffusion priors, but they typically suffer from time-consuming per-shape optimization and inconsistent geometry.

3D geometry Image to 3D +1

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

1 code implementation27 May 2023 YuAn Liu, Peng Wang, Cheng Lin, Xiaoxiao Long, Jiepeng Wang, Lingjie Liu, Taku Komura, Wenping Wang

We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.

Neural Rendering Object

NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies

no code implementations CVPR 2023 Xiaoxiao Long, Cheng Lin, Lingjie Liu, YuAn Liu, Peng Wang, Christian Theobalt, Taku Komura, Wenping Wang

In this paper, we propose to represent surfaces as the Unsigned Distance Function (UDF) and develop a new volume rendering scheme to learn the neural UDF representation.

Neural Rendering

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views

1 code implementation12 Jun 2022 Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang

We introduce SparseNeuS, a novel neural rendering based method for the task of surface reconstruction from multi-view images.

Neural Rendering Surface Reconstruction

To What Extent Do Disadvantaged Neighborhoods Mediate Social Assistance Dependency? Evidence from Sweden

no code implementations9 Jun 2022 Cheng Lin, Adel Daoud, Maria Branden

In this paper, we build on the theory of cumulative disadvantage and examine whether the accumulated use of social assistance over the life course is associated with an increased risk of future social assistance recipiency.

Learnable Motion Coherence for Correspondence Pruning

no code implementations CVPR 2021 YuAn Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang

We propose a novel formulation of fitting coherent motions with a smooth function on a graph of correspondences and show that this formulation allows a closed-form solution by graph Laplacian.

Camera Pose Estimation Pose Estimation

Adaptive Compact Attention For Few-shot Video-to-video Translation

no code implementations30 Nov 2020 Risheng Huang, Li Shen, Xuan Wang, Cheng Lin, Hao-Zhi Huang

This paper proposes an adaptive compact attention model for few-shot video-to-video translation.

Translation

SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

1 code implementation22 Oct 2020 Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.

Segmentation

Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans

no code implementations ICCV 2019 Cheng Lin, Changjian Li, Wenping Wang

We present a novel approach to align partial 3D reconstructions which may not have substantial overlap.

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