Search Results for author: Ruizhi Shao

Found 15 papers, 5 papers with code

Ins-HOI: Instance Aware Human-Object Interactions Recovery

1 code implementation15 Dec 2023 Jiajun Zhang, Yuxiang Zhang, Hongwen Zhang, Xiao Zhou, Boyao Zhou, Ruizhi Shao, Zonghai Hu, Yebin Liu

To address this, we further propose a complementary training strategy that leverages synthetic data to introduce instance-level shape priors, enabling the disentanglement of occupancy fields for different instances.

Descriptive Disentanglement +3

Layered 3D Human Generation via Semantic-Aware Diffusion Model

no code implementations10 Dec 2023 Yi Wang, Jian Ma, Ruizhi Shao, Qiao Feng, Yu-Kun Lai, Yebin Liu, Kun Li

To keep the generated clothing consistent with the target text, we propose a semantic-confidence strategy for clothing that can eliminate the non-clothing content generated by the model.

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

1 code implementation25 Oct 2023 Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu

The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene.

HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation

no code implementations2 Oct 2023 Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang

The main idea is to enhance the model's 2D perception of 3D geometry by learning a normal-adapted diffusion model and a normal-aligned diffusion model.

Text to 3D Texture Synthesis

Control4D: Efficient 4D Portrait Editing with Text

no code implementations31 May 2023 Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, Yebin Liu

We introduce Control4D, an innovative framework for editing dynamic 4D portraits using text instructions.

CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition

no code implementations CVPR 2023 Hongwen Zhang, Siyou Lin, Ruizhi Shao, Yuxiang Zhang, Zerong Zheng, Han Huang, Yandong Guo, Yebin Liu

In this way, the clothing deformations are disentangled such that the pose-dependent wrinkles can be better learned and applied to unseen poses.

Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering

no code implementations CVPR 2023 Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu

The key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene can be directly represented as a 4D spatio-temporal tensor.

Dynamic Reconstruction Tensor Decomposition

Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering

1 code implementation21 Nov 2022 Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu

The key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene can be directly represented as a 4D spatio-temporal tensor.

Dynamic Reconstruction Tensor Decomposition

DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

no code implementations16 Jul 2022 Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu

At its core is a novel diffusion-based stereo module, which introduces diffusion models, a type of powerful generative models, into the iterative stereo matching network.

3D Human Reconstruction Depth Estimation +1

Learning Implicit Templates for Point-Based Clothed Human Modeling

1 code implementation14 Jul 2022 Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu

We present FITE, a First-Implicit-Then-Explicit framework for modeling human avatars in clothing.

HDhuman: High-quality Human Novel-view Rendering from Sparse Views

no code implementations20 Jan 2022 Tiansong Zhou, Jing Huang, Tao Yu, Ruizhi Shao, Kun Li

To this end, we propose HDhuman, which uses a human reconstruction network with a pixel-aligned spatial transformer and a rendering network with geometry-guided pixel-wise feature integration to achieve high-quality human reconstruction and rendering.

Neural Rendering Surface Reconstruction +1

LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation

no code implementations ICCV 2021 Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Yebin Liu

By combining the local transformer with the multiscale structure, the network is able to capture long-short range correspondences efficiently and accurately.

Homography Estimation

DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering

no code implementations CVPR 2022 Ruizhi Shao, Hongwen Zhang, He Zhang, Mingjia Chen, YanPei Cao, Tao Yu, Yebin Liu

We introduce DoubleField, a novel framework combining the merits of both surface field and radiance field for high-fidelity human reconstruction and rendering.

Transfer Learning

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