Yan-Pei Cao | DeepAI

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Yong Zhang
127 publications
Ying Shan
106 publications
Lin Wang
98 publications
Kai Han
95 publications
Chao Dong
90 publications
Xiaojuan Qi
71 publications
Baoyuan Wu
67 publications
Xuan Wang
62 publications
Shenghua Gao
55 publications
Chun Yuan
55 publications
Zhizhong Han
50 publications

∙ 09/09/2023

Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video

Synthesizing realistic videos according to a given speech is still an op...

0 Xiuzhe Wu, et al. ∙

∙ 08/27/2023

Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views

Reconstructing 3D objects from extremely sparse views is a long-standing...

0 Zi-Xin Zou, et al. ∙

∙ 08/18/2023

Guide3D: Create 3D Avatars from Text and Image Guidance

Recently, text-to-image generation has exhibited remarkable advancements...

0 Yukang Cao, et al. ∙

∙ 08/16/2023

OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution

Omnidirectional images (ODIs) have become increasingly popular, as their...

0 Zidong Cao, et al. ∙

∙ 07/27/2023

GET3D–: Learning GET3D from Unconstrained Image Collections

The demand for efficient 3D model generation techniques has grown expone...

0 Fanghua Yu, et al. ∙

∙ 07/07/2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

3D facial avatar reconstruction has been a significant research topic in...

0 Wangbo Yu, et al. ∙

∙ 06/29/2023

ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models

Given sparse views of an object, estimating their camera poses is a long...

0 Weihao Cheng, et al. ∙

∙ 06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...

0 Yunpeng Bai, et al. ∙

∙ 06/12/2023

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

Enhancing AI systems to perform tasks following human instructions can s...

0 Jiale Xu, et al. ∙

∙ 05/11/2023

SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views

We study to generate novel views of indoor scenes given sparse input vie...

0 Weihao Cheng, et al. ∙

∙ 05/10/2023

D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion

Learning and selecting important points on a point cloud is crucial for ...

0 Xinhai Liu, et al. ∙

∙ 04/24/2023

HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video

We introduce HOSNeRF, a novel 360 free-viewpoint rendering method that r...

0 Jia-Wei Liu, et al. ∙

∙ 04/18/2023

SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes

Online reconstructing and rendering of large-scale indoor scenes is a lo...

0 Yiming Gao, et al. ∙

∙ 04/03/2023

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

We present DreamAvatar, a text-and-shape guided framework for generating...

0 Yukang Cao, et al. ∙

∙ 03/21/2023

HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions

Depth estimation from a monocular 360 image is a burgeoning problem owin...

0 Hao Ai, et al. ∙

∙ 12/28/2022

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

Recent CLIP-guided 3D optimization methods, e.g., DreamFields and PureCL...

0 Jiale Xu, et al. ∙

∙ 09/30/2022

MonoNeuralFusion: Online Monocular Neural 3D Reconstruction with Geometric Priors

High-fidelity 3D scene reconstruction from monocular videos continues to...

0 Zi-Xin Zou, et al. ∙

∙ 05/31/2022

DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes

Modeling dynamic scenes is important for many applications such as virtu...

0 Jia-Wei Liu, et al. ∙

∙ 02/19/2022

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths

Point cloud completion concerns to predict missing part for incomplete 3...

0 Peng Xiang, et al. ∙

∙ 02/18/2022

Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

Most existing point cloud completion methods suffered from discrete natu...

0 Peng Xiang, et al. ∙

∙ 08/10/2021

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

Point cloud completion aims to predict a complete shape in high accuracy...

0 Peng Xiang, et al. ∙

∙ 03/14/2021

Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding

In this paper, we present a novel unpaired point cloud completion networ...

0 Zhizhong Han, et al. ∙

∙ 12/07/2020

PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths

The task of point cloud completion aims to predict the missing part for ...

0 Peng Xiang, et al. ∙

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