Explanipedia

Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing Open

Fenglin Liu, S. Z. Li, Yan‐Pei Cao, Hongbo Fu, Gao Lin · 2025

Recent video editing methods achieve attractive results in style transfer or appearance modification. However, editing the structural content of 3D scenes in videos remains challenging, particularly when dealing with significant viewpoint …

Integrated CT-derived radiomics for predicting ctDNA status and prognosis in resectable non-small cell lung cancer Open

Zetian Gong, Yan‐Pei Cao, Xiaoxuan Wang, Hongya Wang, Jie Xu , et al. · 2025

This study aimed to develop a radiomics signature for predicting ctDNA status and recurrence risk in non-small cell lung cancer (NSCLC) patients. A retrospective analysis of 631 patients was conducted, with 114 in the training set, 349 in …

One Model to Rig Them All: Diverse Skeleton Rigging with UniRig Open

Jia-Peng Zhang, C.C. Pu, Meng-Hao Guo, Yan‐Pei Cao, Shi‐Min Hu · 2025

The rapid evolution of 3D content creation, encompassing both AI-powered methods and traditional workflows, is driving an unprecedented demand for automated rigging solutions that can keep pace with the increasing complexity and diversity …

Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing Open

Fenglin Liu, S. Z. Li, Yan‐Pei Cao, Hongbo Fu, Lin Gao · 2025

OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion Open

Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi–Xin Zou, Yu Huang , et al. · 2025

The creation of 3D assets with explicit, editable part structures is crucial for advancing interactive applications, yet most generative methods produce only monolithic shapes, limiting their utility. We introduce OmniPart, a novel framewo…

SeqTex: Generate Mesh Textures in Video Sequence Open

Ze Yuan, Xin Yu, Yangtian Sun, Yuan-Chen Guo, Yan‐Pei Cao , et al. · 2025

Training native 3D texture generative models remains a fundamental yet challenging problem, largely due to the limited availability of large-scale, high-quality 3D texture datasets. This scarcity hinders generalization to real-world scenar…

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models Open

Zehuan Huang, Haoran Feng, Yangtian Sun, Yuan-Chen Guo, Yan‐Pei Cao , et al. · 2025

We present AnimaX, a feed-forward 3D animation framework that bridges the motion priors of video diffusion models with the controllable structure of skeleton-based animation. Traditional motion synthesis methods are either restricted to fi…

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation Open

Yang-Tian Sun, Yu Xin, Zehuan Huang, Yihua Huang, Yuan-Chen Guo , et al. · 2025

Recently, methods leveraging diffusion model priors to assist monocular geometric estimation (e.g., depth and normal) have gained significant attention due to their strong generalization ability. However, most existing works focus on estim…

SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling Open

Xianglong He, Zi–Xin Zou, C. L. Chen, Yuan-Chen Guo, Liang Ding , et al. · 2025

Creating high-fidelity 3D meshes with arbitrary topology, including open surfaces and complex interiors, remains a significant challenge. Existing implicit field methods often require costly and detail-degrading watertight conversion, whil…

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models Open

Yangguang Li, Zi–Xin Zou, Zexiang Liu, D.-W. Wang, Yuan Liang , et al. · 2025

Recent advancements in diffusion techniques have propelled image and video generation to unprecedented levels of quality, significantly accelerating the deployment and application of generative AI. However, 3D shape generation technology h…

Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications Open

Xiao Zhang, Jiatao Liu, Yan‐Pei Cao, Wei Wang, Haoran Lin , et al. · 2025

Lung cancer remains the leading cause of cancer-related deaths, driven by complex pathogenesis and poor prognosis. Recognizing the pivotal role of mitochondrial RNA modifications (MRM) in cancer progression, this study aims to provide a co…

Research trends and major developments in 3D vision in 2024 Open

Yebin Liu, Hao Su, Lin Gao, Yi Li, He Wang , et al. · 2025

Comprehensive Analysis of m6<span>A</span>‐Related Programmed Cell Death Genes Unveils a Novel Prognostic Model for Lung Adenocarcinoma Open

Xiao Zhang, Yan‐Pei Cao, Jiatao Liu, Wei Wang, Qiuyue Yan , et al. · 2025

Lung adenocarcinoma (LUAD) involves complex dysregulated cellular processes, including programmed cell death (PCD), influenced by N6‐methyladenosine (m6A) RNA modification. This study integrates bulk RNA and single‐cell sequencing data to …

By integrating single-cell RNA sequencing and bulk RNA sequencing, plasma cells signature and tertiary lymphoid structures were verified to contribute to outcome in lung adenocarcinoma Open

Zetian Gong, Xiao Xu, Yan‐Pei Cao, Yanlong Feng, Jiatao Liu , et al. · 2025

Plasma cells and TLS can effectively predict the prognosis of LUAD. In the tumor microenvironment (TME) of advanced tumors, plasma cells might be in a state of functional exhaustion. Comprehensive characterization of TLS and corresponding …

AIGC 2D/3D technology development and creative industry applications Open

Yi Zheng, Xiang Huang, Fangbo Qin, Yuan Liang, Zixuan Huang , et al. · 2025

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation Open

Zhao Wang, Yan‐Pei Cao, Jie Xu, Yanfeng Dong, Ying Shan · 2024

Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet controlling it to produce desired shapes is difficult and often requires extensive parameter tuning. Inverse Procedural Content Generation aims to au…

Deformable Radial Kernel Splatting Open

Yi-Hua Huang, Ming-Xian Lin, Yang-Tian Sun, Ziyi Yang, Xiaoyang Lyu , et al. · 2024

Recently, Gaussian splatting has emerged as a robust technique for representing 3D scenes, enabling real-time rasterization and high-fidelity rendering. However, Gaussians' inherent radial symmetry and smoothness constraints limit their ab…

NeRF-Texture: Synthesizing Neural Radiance Field Textures Open

Yi-Hua Huang, Yan‐Pei Cao, Yu‐Kun Lai, Ying Shan, Lin Gao · 2024

Texture synthesis is a fundamental problem in computer graphics that would\nbenefit various applications. Existing methods are effective in handling 2D\nimage textures. In contrast, many real-world textures contain meso-structure in\nthe 3…

MV-Adapter: Multi-view Consistent Image Generation Made Easy Open

Zehuan Huang, Yuan–Chen Guo, Haoran Wang, Ran Yi, Lizhuang Ma , et al. · 2024

Existing multi-view image generation methods often make invasive modifications to pre-trained text-to-image (T2I) models and require full fine-tuning, leading to (1) high computational costs, especially with large base models and high-reso…

MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation Open

Zehuan Huang, Yuan–Chen Guo, Xin An, Yunhan Yang, Yangguang Li , et al. · 2024

This paper introduces MIDI, a novel paradigm for compositional 3D scene generation from a single image. Unlike existing methods that rely on reconstruction or retrieval techniques or recent approaches that employ multi-stage object-by-obje…

DetailGen3D: Generative 3D Geometry Enhancement via Data-Dependent Flow Open

Kanfeng Deng, Yuan-Chen Guo, Jingxiang Sun, Zi–Xin Zou, Yangguang Li , et al. · 2024

Modern 3D generation methods can rapidly create shapes from sparse or single views, but their outputs often lack geometric detail due to computational constraints. We present DetailGen3D, a generative approach specifically designed to enha…

TEXGen: a Generative Diffusion Model for Mesh Textures Open

Xin Yu, Ze Yuan, Yuan-Chen Guo, Ying-Tian Liu, J. W. Liu , et al. · 2024

While high-quality texture maps are essential for realistic 3D asset rendering, few studies have explored learning directly in the texture space, especially on large-scale datasets. In this work, we depart from the conventional approach of…

SAMPart3D: Segment Any Part in 3D Objects Open

Yunhan Yang, Yukun Huang, Yuan-Chen Guo, Lidan Lu, Xiaoyang Wu , et al. · 2024

3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role in applications such as robotics, 3D generation, and 3D editing. Recent methods harness the powerful Vision Language Models (VLMs) for 2D-to-3D k…

DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model Open

Jingxiang Sun, Cheng Peng, Ruizhi Shao, Ying Guo, Xiaochen Zhao , et al. · 2024

We introduce DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets. DreamCraft3D++ inherits the multi-stage generation process of DreamCraft3D, but replaces the time-consuming geom…

OctFusion: Octree-based Diffusion Models for 3D Shape Generation Open

Bojun Xiong, Si‐Tong Wei, X. Zheng, Yan‐Pei Cao, Zhouhui Lian , et al. · 2024

Diffusion models have emerged as a popular method for 3D generation. However, it is still challenging for diffusion models to efficiently generate diverse and high-quality 3D shapes. In this paper, we introduce OctFusion, which can generat…

TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts Open

Jingyu Zhuang, Di Kang, Yan‐Pei Cao, Guanbin Li, Liang Lin , et al. · 2024

Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the i…

Recent advances in 3D Gaussian splatting Open

Tong Wu, Yu-Jie Yuan, Lingxiao Zhang, Jie Yang, Yan‐Pei Cao , et al. · 2024

The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) that represent a 3D scene with position and viewpoint-condi…

Splatter a Video: Video Gaussian Representation for Versatile Processing Open

Yang-Tian Sun, Yihua Huang, Lin Ma, Xiaoyang Lyu, Yan‐Pei Cao , et al. · 2024

Video representation is a long-standing problem that is crucial for various down-stream tasks, such as tracking,depth prediction,segmentation,view synthesis,and editing. However, current methods either struggle to model complex motions due…

Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality Open

Zidong Cao, Zhan Wang, Yexin Liu, Yan‐Pei Cao, Ying Shan , et al. · 2024

Viewing omnidirectional images (ODIs) in virtual reality (VR) represents a novel form of media that provides immersive experiences for users to navigate and interact with digital content. Nonetheless, this sense of immersion can be greatly…

SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views Open

Shi-Sheng Huang, Zi–Xin Zou, Yichi Zhang, Yan‐Pei Cao, Ying Shan · 2024

The recent neural surface reconstruction approaches using volume rendering have made much progress by achieving impressive surface reconstruction quality, but are still limited to dense and highly accurate posed views. To overcome such dra…

Yan‐Pei Cao YOU? Author Swipe