Multi-View 3D Reconstruction

Follow this topic Ask about this topic

Momentum

23 papers in the last four weeks, up 188% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 151

All topics

ZipSplat: Fewer Gaussians, Better Splats
Jun 3, 2026Alexander Veicht, Sunghwan Hong, Dániel Baráth +13D Gaussian Splatting Multi-View 3D Reconstruction
ETH Zürich · Microsoft
4D Reconstruction from Sparse Dynamic Cameras
Jun 3, 2026Kazuki Ozeki, Shun Kenney, Yuto Shibata +64D Reconstruction Multi-View 3D Reconstruction
Keio University · Sony AI · Sony Group Corporation
GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images
Jun 2, 2026Jiahao Sun, Dingkun Wei, Zehong Shen +33D Reconstruction Multi-View 3D Reconstruction
Zhejiang University, China · Ant Group, China
BA-T: An Iterative Transformer for Two-View Bundle Adjustment
Jun 2, 2026Ganlin Zhang, Weirong Chen, Daniel Cremers +1Multi-View Consistency 3D ViTs
TU Munich · MCML · ETH Zurich
FreeStreamGS: Online Feed-forward 3D Gaussian Splatting from Unposed Streaming Inputs
Jun 2, 2026Ruiyang Chen, Feiran Li, Chu Zhou +33D Gaussian Splatting Streaming 3D Reconstruction
Beijing University of Posts and Telecommunications, China · Independent Researcher · National Institute of Informatics, Japan
TROPHIES: Temporal Reconstruction of Places, Humans, and Cameras from Multi-view Videos
Jun 1, 2026Jinpeng Liu, Yukang Xu, Yutong Li +14D Reconstruction 3D Reconstruction
National University of Singapore
ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo
May 31, 2026Guo Pu, Yixuan Han, Zhouhui LianMulti-View Depth Estimation 3D Reconstruction
Wangxuan Institute of Computer Technology, Peking University
Feature-Optimized Vision for Adaptive 3D Scene Reconstruction
May 29, 2026Eric Liang3D Reconstruction Multi-View 3D Reconstruction
Oracle
Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling
May 29, 2026Timo Bolkart, Daoye Wang, Prashanth ChandranMulti-View 3D Reconstruction 3D Mesh Reconstruction
Google, Switzerland
City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images
May 28, 2026Sayan Paul, Sourav Ghosh, Siddharth Katageri +33D Reconstruction Multi-View 3D Reconstruction
Visual Computing & Embodied AI Lab, TCS Research, India
Déjà View: Looping Transformers for Multi-View 3D Reconstruction
May 28, 2026Alessandro Burzio, Tobias Fischer, Sven Elflein +9Multi-View 3D Reconstruction Recurrent Transformers
NVIDIA · University of Modena and Reggio Emilia, AImageLab · ETH Zürich +1
FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
May 28, 2026Yihang Tao, Yu Guo, Zhengru Fang +23D Gaussian Splatting 3D Reconstruction
Hong Kong JC STEM Lab of Smart City, City University of Hong Kong
Comparative evaluation of photogrammetric reconstruction methods and 3D Gaussian Splatting for road surface roughness analysis
May 28, 2026Marouane Elmegdar, Teng Xiao3D Gaussian Splatting Multi-View 3D Reconstruction
School of Computer Science, Hubei University of Technology, Wuhan, China 430068
Eulerian Gaussian Splatting using Hashed Probability Pyramids
May 27, 2026Mia Gaia Polansky, George Kopanas, Stephan Garbin +23D Gaussian Splatting Neural Rendering
Harvard University · Google DeepMind · Google
CLEAR-NeRF: Collinearity and Local-region Enhanced Accurate 3D Reconstruction in Unbounded Scenes
May 27, 2026Vladislav Polianskii, Elijs Dima, Isabel Salmerón Marazuela +33D Reconstruction Multi-View 3D Reconstruction
Ericsson Research, Stockholm, Sweden
Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction
May 25, 2026Jin Hyeon Kim, Jaeeun Lee, Claire Kim +8Diffusion Models for Image Restoration 3D Reconstruction
1KAIST AI · 2Samsung Electronics
Global Structure-from-Motion Meets Feedforward Reconstruction
May 25, 2026Linfei Pan, Johannes Schönberger, Marc PollefeysMulti-View 3D Reconstruction Camera Pose Estimation
ETH Zurich · Meta Reality Labs · ETH Zurich, Microsoft
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
May 22, 2026Shuhong Zheng, Michael Oechsle, Erik Sandström +33D ViTs Multi-View 3D Reconstruction
University of Toronto & Vector Institute · Google · Technical University of Munich
GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction
May 22, 2026Katharina Schmid, Nicolas von Lützow, Jozef Hladký +23D Reconstruction Multi-View 3D Reconstruction
Technical University of Munich · Computing Systems Lab, Huawei Technologies, Switzerland
Stream3D: Sequential Multi-View 3D Generation via Evidential Memory
May 20, 2026Kaichen Zhou, Zeyang Bai, Xinhai Chang +3Streaming 3D Reconstruction 3D Reconstruction
World Mind Lab, HKUST · Media Lab and EECS, MIT · Kempner
UniT: Unified Geometry Learning with Group Autoregressive Transformer
May 20, 2026Haotian Wang, Yusong Huang, Zhaonian Kuang +4Transformer Depth Estimation
Intelligent Transportation Thrust of the Systems Hub, The Hong Kong University of Science and Technology (GZ), Guangzhou, P.R.China. · The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University, Xi’an, P.R.China. · Applied Science, Amazon.com, Inc., USA.
DAMA: Disentangled Body-Anchored Gaussians for Controllable Multi-Layered Avatars
May 20, 2026Daniel Eskandar, Berna Kabadayi, Garvita Tiwari +13D Gaussian Splatting 3D Reconstruction
University of Tübingen, Germany · Tübingen AI Center, Germany · Zuse School ELIZA, Germany +2
GaussianZoom: Progressive Zoom-in Generative 3D Gaussian Splatting with Geometric and Semantic Guidance
May 18, 2026Jiale Shi, Jiarui Hu, Zesong Yang +33D Gaussian Splatting 3D Reconstruction
State Key Lab of CAD & CG, Zhejiang University
TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts
May 17, 2026Sophokles Ktistakis, Rui Wang, Bastian Grande +1Multi-View 3D Reconstruction Surgical Video Understanding
1ETH Zurich · Institute for Anesthesiology and Perioperative Medicine, University Hospital Zurich · Department of Public and Global Health, University of Zurich
ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics
May 15, 2026Sylvia Yuan, Dan Wang, Ravi Ramamoorthi +1Articulated Object Reconstruction 3D Reconstruction
University of California San Diego · University of North Texas
IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation
May 15, 2026Yuqi Wu, Tianyu Hu, Wenzhao Zheng +43D ViTs Implicit Neural Representations
Intelligent Vision Group, Tsinghua University
VGGT- $Ω$
May 14, 2026Jianyuan Wang, Minghao Chen, Shangzhan Zhang +7Multi-View 3D Reconstruction Dynamic Scene Reconstruction
1Visual Geometry Group, University of Oxford · 2Meta AI
Efficient Dense Matching for Enhanced Gaussian Splatting Using AV1 Motion Vectors
May 14, 2026Julien Zouein, Vibhoothi Vibhoothi, François Pitié +13D Gaussian Splatting Multi-View 3D Reconstruction
Sigmedia Group, Dept. of Electronic and Electrical Engineering,Trinity College Dublin, Ireland
TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention
May 14, 2026David Huang, Guile Wu, Chengjie Huang +23D ViTs Multi-View 3D Reconstruction
Huawei Noah’s Ark Lab · University of Toronto · Foundation Model Department, Huawei
3D Gaussian Splatting for Efficient Retrospective Dynamic Scene Novel View Synthesis with a Standardized Benchmark
May 12, 2026Yunxiao Zhang, Suryansh Kumar3D Gaussian Splatting Multi-View 3D Reconstruction
Visual and Spatial AI Lab1, VCCM Section College of PVFA2, Department of ECEN3, Department of CSCE4, Texas A&M University, College Station, Texas, USA

Jun 3, 2026, cs.CVJ/K move · Enter open · S save

ZipSplat: Fewer Gaussians, Better Splats

Alexander Veicht, Sunghwan Hong, Dániel Baráth, Marc Pollefeys

ETH Zürich · Microsoft

3D Gaussian Splatting Multi-View 3D Reconstruction Feed-Forward 3D Reconstruction

Open paper AskPDF arXiv

Feed-forward 3D Gaussian Splatting methods reconstruct a scene from posed or pose-free images in a single forward pass, yet current approaches predict one Gaussian per input pixel, tying the representation budget to camera resolution rather than scene complexity. A flat wall and a richly textured object thus produce equally many Gaussians despite very different geometric needs. We propose ZipSplat, a token-based feed-forward model that decouples Gaussian placement from the pixel grid. A multi-view backbone extracts dense visual tokens, and k-means clustering compresses them into a compact set of scene tokens. Cross- and self-attention refine these tokens, and a lightweight MLP decodes each into a group of Gaussians with unconstrained 3D positions. Because clustering is applied at inference, a single trained model spans the quality-efficiency curve without retraining. ZipSplat operates without ground-truth poses or intrinsics, yet sets a new state of the art on DL3DV and RealEstate10K with

{\sim}6{\times}

fewer Gaussians than pixel-aligned methods, surpassing the best pose-free baseline by 2.1dB and 1.2dB PSNR, respectively. It further generalizes zero-shot to Mip-NeRF360 and ScanNet++, outperforming all comparable baselines. Our project page is at https://veichta.com/zipsplat.

Momentum

Related topics

Latest papers 151