activity
20232025
most citedGaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

9 citations · 24 across the 10 of their papers we have counts for

collaborators

11 papers

cs.GR2025

MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation

Zilong Chen, Yikai Wang, Wenqiang Sun +3

In this paper, we introduce MeshGen, an advanced image-to-3D pipeline that generates high-quality 3D meshes with detailed geometry and physically based rendering (PBR) textures. Ad…

cs.GR2025

Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization

Yikai Wang, Guangce Liu, Xinzhou Wang +5

The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or chara…

cs.CV2024

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Wenqiang Sun, Shuo Chen, Fangfu Liu +4

In this paper, we introduce \textbf{DimensionX}, a framework designed to generate photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach begins…

cs.CV2024

MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Yiwen Chen, Yikai Wang, Yihao Luo +5

Meshes are the de facto 3D representation in the industry but are labor-intensive to produce. Recently, a line of research has focused on autoregressively generating meshes. This a…

cs.CV2024

Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models

Wenqiang Sun, Zhengyi Wang, Shuo Chen +4

Creating 3D assets from single-view images is a complex task that demands a deep understanding of the world. Recently, feed-forward 3D generative models have made significant progr…

cs.CV2024★ 1 cited

Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

Yikai Wang, Xinzhou Wang, Zilong Chen +3

Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these models are also observed to exhibit stro…

cs.HC2024

On the Utility of External Agent Intention Predictor for Human-AI Coordination

Chenxu Wang, Zilong Chen, Angelo Cangelosi +1

Reaching a consensus on the team plans is vital to human-AI coordination. Although previous studies provide approaches through communications in various ways, it could still be har…

cs.CV2024★ 2 cited

V3D: Video Diffusion Models are Effective 3D Generators

Zilong Chen, Yikai Wang, Feng Wang +2

Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to…

cs.CV2023★ 9 cited

GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

Yiwen Chen, Zilong Chen, Chi Zhang +7

3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often…

cs.CV2023★ 4 cited

Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction

Feng Wang, Zilong Chen, Guokang Wang +2

In this paper, we propose the Masked Space-Time Hash encoding (MSTH), a novel method for efficiently reconstructing dynamic 3D scenes from multi-view or monocular videos. Based on…

cs.CV2023★ 8 cited

Text-to-3D using Gaussian Splatting

Zilong Chen, Feng Wang, Yikai Wang +1

Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the optimization of volume rendering has achieved remarkable progress in synthesizing realistic…