Explanipedia

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Open

Lin-Zhuo Chen, Kangjie Liu, Youtian Lin, Siyu Zhu, Zhihao Li , et al. · 2025

3D Gaussian Splatting (3DGS) has achieved excellent rendering quality with fast training and rendering speed. However, its optimization process lacks explicit geometric constraints, leading to suboptimal geometric reconstruction in regions…

Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields Open

Youtian Lin · 2024

Rendering photorealistic dynamic scenes has been a focus of recent research, with applications in virtual and augmented reality. While the Neural Radiance Field (NeRF) has shown remarkable rendering quality for static scenes, achieving rea…

STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians Open

Yifei Zeng, Yanqin Jiang, Siyu Zhu, Yuanxun Lu, Youtian Lin , et al. · 2024

Recent progress in pre-trained diffusion models and 3D generation have spurred interest in 4D content creation. However, achieving high-fidelity 4D generation with spatial-temporal consistency remains a challenge. In this work, we propose …

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation Open

Zexiang Liu, Yangguang Li, Youtian Lin, Xin Yu, Sida Peng , et al. · 2023

Recent advancements in text-to-3D generation technology have significantly advanced the conversion of textual descriptions into imaginative well-geometrical and finely textured 3D objects. Despite these developments, a prevalent limitation…

Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle Open

Youtian Lin, Zuozhuo Dai, Siyu Zhu, Yao Yao · 2023

We introduce Gaussian-Flow, a novel point-based approach for fast dynamic scene reconstruction and real-time rendering from both multi-view and monocular videos. In contrast to the prevalent NeRF-based approaches hampered by slow training …

Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing Open

Jian Gao, Chun Gu, Youtian Lin, Hao Zhu, Xun Cao , et al. · 2023

In this paper, we present a novel differentiable point-based rendering framework to achieve photo-realistic relighting. To make the reconstructed scene relightable, we enhance vanilla 3D Gaussians by associating extra properties, including…

IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection Open

Youtian Lin, Pengming Feng, Jian Guan · 2019

Object detection in aerial images is a challenging task due to the lack of visible features and variant orientation of objects. Significant progress has been made recently for predicting targets from aerial images with horizontal bounding …

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