Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have advanced 3D reconstruction and novel view synthesis, but remain heavily dependent on accurate camera poses and dense viewpoint coverage. These requirements limit their applicability in sparse-view settings, where pose estimation becomes unreliable and supervision is insufficient. To overcome these challenges, we introduce Gesplat, a 3DGS-based framework that enables robust novel view synthesis and geometrically consistent reconstruction from unposed sparse images. Unlike prior works that rely on COLMAP for sparse point cloud initialization, we leverage the VGGT foundation model to obtain more reliable initial poses and dense point clouds. Our approach integrates several key innovations: 1) a hybrid Gaussian representation with dual position-shape optimization enhanced by inter-view matching consistency; 2) a graph-guided attribute refinement module to enhance scene details; and 3) flow-based depth regularization that improves depth estimation accuracy for more effective supervision. Comprehensive quantitative and qualitative experiments demonstrate that our approach achieves more robust performance on both forward-facing and large-scale complex datasets compared to other pose-free methods.
University of Liverpool（利物浦大学）；Xi’an Jiaotong-Liverpool University（西交利物浦大学）；Universidad Antonio de Nebrija（安东尼奥·德·内布里哈大学）；ARIES Research Centre（ARIES研究中心）
Wangxuan Institute of Computer Technology, Peking University（北京大学计算机技术研究院）；Chongqing Changan Automobile Co., Ltd（重庆长安汽车有限公司）；University of California, Merced（加州大学默塞德分校）
Rendering Anywhere You See: Renderability Field-guided Gaussian Splatting
Laboratory of Artificial Intelligence Robotics（人工智能机器人实验室）；Politecnico di Milano（米兰理工学院）；Ningbo Institute of Materials Technology and Engineering（宁波材料技术与工程研究所）
ExtraGS: Enhancing Endoscopic View Extrapolation via Diffusion-Guided 3D Gaussian Splatting
The School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, and the Shanghai Key Laboratory of Navigation and Location-Based Services（上海交通大学自动化与智能感知学院以及上海市导航与位置服务重点实验室）；Global College, Shanghai Jiao Tong University（上海交通大学密西根学院）；Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属第九人民医院）
GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting
Technical University of Munich（慕尼黑技术大学）；Universitat Politècnica de Catalunya（巴塞罗那技术大学）；Google（谷歌）；Munich Center for Machine Learning（慕尼黑机器学习中心）；University of Tubingen（图宾根大学）；ETH Zurich（苏黎世联邦理工学院）；Visualais
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
The Chinese University of Hong Kong（香港中文大学）；Stanford University（斯坦福大学）；Snap Inc.（Snap公司）；University of California Los Angeles（加利福尼亚大学洛杉矶分校）；ByteDance（字节跳动）
D3GS: Depth, DINO, and RGB Diffusion Co-Guided 3D Gaussian Splatting for Sparse-View Reconstruction
Central China Normal University（华中师范大学）；Tsinghua University（清华大学）；Fuzhou University（福州大学）；University of the Chinese Academy of Sciences（中国科学院大学）；Space Engineering University（航天工程大学）；Beijing Normal University（北京师范大学）；ByteDance Inc.（字节跳动公司）
D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Insta360 Research（Insta360研究机构）；Tsinghua University（清华大学）；University of California, San Diego（加州大学圣地亚哥分校）；Nanyang Technological University（南洋理工大学）；Wuhan University（武汉大学）
NG-GS: NeRF-Guided 3D Gaussian Splatting Segmentation
Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education（交通大数据与人工智能联合实验室，教育部）；School of Computer and Information Technology, Beijing Jiaotong University（北京交通大学计算机与信息学院）；Department of Artificial Intelligence, Westlake University（西湖大学人工智能学院）
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
Institute of Computing Technology, Chinese Academy of Sciences, ICT（中国科学院计算技术研究所）；University of Chinese Academy of Sciences, UCAS（中国科学院大学）；The University of Queensland（昆士兰大学）；Jiangsu University（江苏大学）
UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting
Manchester Metropolitan University（曼彻斯特城市大学）；University of Surrey（萨里大学）；Imperial College London（帝国理工学院）；University of Exeter（埃克塞特大学）；Southeast University（东南大学）；Nanjing University of Science and Technology（南京理工大学）；University of Leeds（利兹大学）；Aston University（阿斯顿大学）
