activity
20232025
most cited4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

30 citations · 77 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CV2025

UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation

Guanjun Wu, Jiemin Fang, Chen Yang +11

High-fidelity 3D asset generation is crucial for various industries. While recent 3D pretrained models show strong capability in producing realistic content, most are built upon di…

cs.GR2025

Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds

Jia Lu, Taoran Yi, Jiemin Fang +6

Reconstructing 3D human bodies from sparse views has been an appealing topic, which is crucial to broader the related applications. In this paper, we propose a quite challenging bu…

cs.CV2025

Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images

Xiangyu Sun, Haoyi Jiang, Liu Liu +8

Reconstructing and semantically interpreting 3D scenes from sparse 2D views remains a fundamental challenge in computer vision. Conventional methods often decouple semantic underst…

cs.CV2024

Dynamic 2D Gaussians: Geometrically Accurate Radiance Fields for Dynamic Objects

Shuai Zhang, Guanjun Wu, Zhoufeng Xie +3

Reconstructing objects and extracting high-quality surfaces play a vital role in the real world. Current 4D representations show the ability to render high-quality novel views for…

cs.CV2024★ 5 cited

Segment Any 4D Gaussians

Shengxiang Ji, Guanjun Wu, Jiemin Fang +5

Modeling, understanding, and reconstructing the real world are crucial in XR/VR. Recently, 3D Gaussian Splatting (3D-GS) methods have shown remarkable success in modeling and under…

cs.CV2024

MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images

Ziyang Xu, Huangxuan Zhao, Ziwei Cui +3

Artificial intelligence has become a crucial tool for medical image analysis. As an advanced cerebral angiography technique, Digital Subtraction Angiography (DSA) poses a challenge…

cs.CV2024★ 2 cited

GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality

Taoran Yi, Jiemin Fang, Zanwei Zhou +7

Recently, 3D Gaussian splatting (3D-GS) has achieved great success in reconstructing and rendering real-world scenes. To transfer the high rendering quality to generation tasks, a…

cs.CV2024

Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting

Zhengqi Zhao, Xiaohu Huang, Hao Zhou +6

The key to action counting is accurately locating each video's repetitive actions. Instead of estimating the probability of each frame belonging to an action directly, we propose a…

cs.CV2024★ 2 cited

EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

Jingfeng Yao, Xinggang Wang, Yuehao Song +5

The diagnosis and treatment of chest diseases play a crucial role in maintaining human health. X-ray examination has become the most common clinical examination means due to its ef…

cs.CV2024★ 2 cited

TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering

Shuai Zhang, Huangxuan Zhao, Zhenghong Zhou +4

Four-dimensional Digital Subtraction Angiography (4D DSA) is a medical imaging technique that provides a series of 2D images captured at different stages and angles during the proc…

cs.CV2024★ 1 cited

ViTGaze: Gaze Following with Interaction Features in Vision Transformers

Yuehao Song, Xinggang Wang, Jingfeng Yao +3

Gaze following aims to interpret human-scene interactions by predicting the person's focal point of gaze. Prevailing approaches often adopt a two-stage framework, whereby multi-mod…

cs.CV2024★ 28 cited

YOLO-World: Real-Time Open-Vocabulary Object Detection

Tianheng Cheng, Lin Song, Yixiao Ge +3

The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories…

cs.CV2024

Fast High Dynamic Range Radiance Fields for Dynamic Scenes

Guanjun Wu, Taoran Yi, Jiemin Fang +2

Neural Radiances Fields (NeRF) and their extensions have shown great success in representing 3D scenes and synthesizing novel-view images. However, most NeRF methods take in low-dy…

cs.CV2023

Circuit as Set of Points

Jialv Zou, Xinggang Wang, Jiahao Guo +3

As the size of circuit designs continues to grow rapidly, artificial intelligence technologies are being extensively used in Electronic Design Automation (EDA) to assist with circu…

cs.CV2023★ 7 cited

GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Taoran Yi, Jiemin Fang, Junjie Wang +6

In recent times, the generation of 3D assets from text prompts has shown impressive results. Both 2D and 3D diffusion models can help generate decent 3D objects based on prompts. 3…

cs.CV2023★ 30 cited

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Guanjun Wu, Taoran Yi, Jiemin Fang +6

Representing and rendering dynamic scenes has been an important but challenging task. Especially, to accurately model complex motions, high efficiency is usually hard to guarantee.…

cs.CV2023

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction

Zhenghong Zhou, Huangxuan Zhao, Jiemin Fang +7

Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critical role in the diagnosis of many medical diseases, such as Arteriovenous Malformations (AVM) and Arterioveno…