51 citations · 196 across the 32 of their papers we have counts for
33 papers
DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion
Yuhan Ping, Yuan Liu, Xiaoxiao Long +6
In this paper, we introduce \textit{DecoRec}, a novel system designed to elevate single-view 2D images to a decomposed 3D scene mesh. Current methods for single-view scene reconstr…
EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation
Libo Zhang, Zekun Li, Tianyu Li +10
Humans exhibit adaptive, context-sensitive responses to egocentric visual input. However, faithfully modeling such reactions from egocentric video remains challenging due to the du…
Wonder3D++: Cross-domain Diffusion for High-fidelity 3D Generation from a Single Image
Yuxiao Yang, Xiao-Xiao Long, Zhiyang Dou +7
In this work, we introduce \textbf{Wonder3D++}, a novel method for efficiently generating high-fidelity textured meshes from single-view images. Recent methods based on Score Disti…
PDT: Point Distribution Transformation with Diffusion Models
Jionghao Wang, Cheng Lin, Yuan Liu +7
Point-based representations have consistently played a vital role in geometric data structures. Most point cloud learning and processing methods typically leverage the unordered an…
CADDreamer: CAD Object Generation from Single-view Images
Yuan Li, Cheng Lin, Yuan Liu +6
Diffusion-based 3D generation has made remarkable progress in recent years. However, existing 3D generative models often produce overly dense and unstructured meshes, which stand i…
NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
Zhenyu Tang, Chaoran Feng, Xinhua Cheng +6
3D Gaussian Splatting (3DGS) achieves impressive quality and rendering speed, but with millions of 3D Gaussians and significant storage and transmission costs. In this paper, we ai…
EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild
Yumeng Liu, Xiaoxiao Long, Zemin Yang +5
Our work aims to reconstruct hand-object interactions from a single-view image, which is a fundamental but ill-posed task. Unlike methods that reconstruct from videos, multi-view i…
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting
Shuichang Lai, Letian Huang, Jie Guo +6
Reconstructing objects from posed images is a crucial and complex task in computer graphics and computer vision. While NeRF-based neural reconstruction methods have exhibited impre…
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
Yiming Ren, Xiao Han, Yichen Yao +3
LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely…
RaDe-GS: Rasterizing Depth in Gaussian Splatting
Baowen Zhang, Chuan Fang, Rakesh Shrestha +3
Gaussian Splatting (GS) has proven to be highly effective in novel view synthesis, achieving high-quality and real-time rendering. However, its potential for reconstructing detaile…
Part123: Part-aware 3D Reconstruction from a Single-view Image
Anran Liu, Cheng Lin, Yuan Liu +5
Recently, the emergence of diffusion models has opened up new opportunities for single-view reconstruction. However, all the existing methods represent the target object as a close…
GECO: Generative Image-to-3D within a SECOnd
Chen Wang, Jiatao Gu, Xiaoxiao Long +2
Recent years have seen significant advancements in 3D generation. While methods like score distillation achieve impressive results, they often require extensive per-scene optimizat…
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
Peng Li, Yuan Liu, Xiaoxiao Long +10
In this paper, we introduce Era3D, a novel multiview diffusion method that generates high-resolution multiview images from a single-view image. Despite significant advancements in…
Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images
Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng +6
We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context. The difficulty of reliably capturing geometric…
LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
Peishan Cong, Ziyi Wang, Zhiyang Dou +7
Language-guided scene-aware human motion generation has great significance for entertainment and robotics. In response to the limitations of existing datasets, we introduce LaserHu…
GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping
Yuhang Zheng, Xiangyu Chen, Yupeng Zheng +12
Constructing a 3D scene capable of accommodating open-ended language queries, is a pivotal pursuit, particularly within the domain of robotics. Such technology facilitates robots i…
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
Bu Jin, Yupeng Zheng, Pengfei Li +12
3D dense captioning stands as a cornerstone in achieving a comprehensive understanding of 3D scenes through natural language. It has recently witnessed remarkable achievements, par…
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang +5
The advent of 3D Gaussian Splatting (3DGS) has recently brought about a revolution in the field of neural rendering, facilitating high-quality renderings at real-time speed. Howeve…
Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization
Zimeng Wang, Zhiyang Dou, Rui Xu +7
We introduce Coverage Axis++, a novel and efficient approach to 3D shape skeletonization. The current state-of-the-art approaches for this task often rely on the watertightness of…
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving
Kai Cheng, Xiaoxiao Long, Wei Yin +6
Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities. Despite the fast development of Neural…
GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
Yingwenqi Jiang, Jiadong Tu, Yuan Liu +4
The advent of neural 3D Gaussians has recently brought about a revolution in the field of neural rendering, facilitating the generation of high-quality renderings at real-time spee…
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8
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 Samp…
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models
Zhengming Yu, Zhiyang Dou, Xiaoxiao Long +9
We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models. Previous methods explored shape generation wit…
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Yuan Liu, Cheng Lin, Zijiao Zeng +4
In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, rece…