Search Results for author: Jingbo Zhang

Found 9 papers, 4 papers with code

Advances in 3D Generation: A Survey

no code implementations31 Jan 2024 Xiaoyu Li, Qi Zhang, Di Kang, Weihao Cheng, Yiming Gao, Jingbo Zhang, Zhihao Liang, Jing Liao, Yan-Pei Cao, Ying Shan

In this survey, we aim to introduce the fundamental methodologies of 3D generation methods and establish a structured roadmap, encompassing 3D representation, generation methods, datasets, and corresponding applications.

Novel View Synthesis

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

no code implementations28 Nov 2023 Jingbo Zhang, Xiaoyu Li, Qi Zhang, YanPei Cao, Ying Shan, Jing Liao

Optimization-based methods that lift text-to-image diffusion models to 3D generation often fail to preserve the texture details of the reference image, resulting in inconsistent appearances in different views.

Image to 3D

VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization

no code implementations18 Oct 2023 Hongliang Zhong, Jingbo Zhang, Jing Liao

By discretizing the materials, our model can reduce noise in the decomposition process and generate a segmentation map of discrete materials.

Quantization Segmentation

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

1 code implementation19 May 2023 Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

Extensive experiments demonstrate that our Text2NeRF outperforms existing methods in producing photo-realistic, multi-view consistent, and diverse 3D scenes from a variety of natural language prompts.

3D Reconstruction Monocular Depth Estimation +3

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

1 code implementation ICCV 2023 Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with a specific identity and artistic style that can be easily animated.

Adaptive Joint Optimization for 3D Reconstruction with Differentiable Rendering

no code implementations15 Aug 2022 Jingbo Zhang, Ziyu Wan, Jing Liao

Due to inevitable noises introduced during scanning and quantization, 3D reconstruction via RGB-D sensors suffers from errors both in geometry and texture, leading to artifacts such as camera drifting, mesh distortion, texture ghosting, and blurriness.

3D Reconstruction Quantization

FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing

1 code implementation11 Aug 2022 Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

Unlike existing dynamic NeRFs that require dense images as input and can only be modeled for a single identity, our method enables face reconstruction across different persons with few-shot inputs.

3D Face Reconstruction

High-Fidelity Pluralistic Image Completion with Transformers

4 code implementations ICCV 2021 Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao

Image completion has made tremendous progress with convolutional neural networks (CNNs), because of their powerful texture modeling capacity.

Image Inpainting Vocal Bursts Intensity Prediction

An influence-based fast preceding questionnaire model for elderly assessments

no code implementations22 Nov 2017 Tong Mo, Rong Zhang, Weiping Li, Jingbo Zhang, Zhonghai Wu, Wei Tan

The practice in an elderly-care company shows that the FPQM can reduce the number of attributes by 90. 56% with a prediction accuracy of 98. 39%.

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