Conference Information

3DV 2027: International Conference on 3D Vision

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Submission Date:
2026-08-28
Notification Date:
2026-12-02
Conference Date:
2027-04-06
Location:
Vancouver, British Columbia, Canada
Years:
CCF: C   Viewed: 69423   Tracked: 41   Attend: 16

Conference Partner Index (CP-I)

64.6 / 100
Ranked #453 of 5,687 conferences · Top 8%

#12 of 246 in Computer Vision & Pattern Recognition

Academic recognition (35%)
66
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
75
Community attention (10%)
60
Public record completeness (15%)
70

Inputs used: Listed as CCF C · Editions on record: 15 · Researchers following it here: 41 · Researchers who opened this page in the past 24 months: 24

Missing from the public record: Historical acceptance rates (+4.5)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-27

Call For Papers

3DV 2027 (International Conference on 3D Vision) is a CCF C conference held in Vancouver, British Columbia, Canada on 2027-04-06. The paper submission deadline is 2026-08-28. Acceptance notifications are sent on 2026-12-02.

Since 2013, under the name 3DV, this event has been a platform for disseminating research results covering a broad variety of topics in the area of 3D computer vision and graphics, from novel optical sensors, signal processing, geometric modeling, representations, to reconstruction, visualization, analysis, rendering, interaction, and a variety of applications. 3DV 2027 will showcase high-quality single-track oral and poster presentations. It will also feature industrial exhibitions and mentoring sessions held in conjunction with the main conference. Topics of interest include, but are not limited to: ACQUISITION Geometry Calibration Physics-based vision and shape from X Photogrammetry Structure from motion and SLAM Dense reconstruction and stereo Structured light and TOF sensors Computational photography MODELLING Shape representation and features Geometry processing Appearance modelling Registration 4D dynamic shapes and scenes Generative and morphable models 3D motion modelling High-level representation of 3D data ANALYSIS Shape recognition and analysis Segmentation Motion and tracking Body, face and gesture CAD data analysis Dataset and benchmarking RENDERING AND INTERACTION Neural rendering Image-based rendering Applied perception Augmented and mixed reality Human-computer interaction Textured 3D scan completion APPLICATIONS Robotics Cultural heritage Industrial Space Medical Entertainment Digital fabrication Sports Biology Neuroscience
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Best Papers

YearBest Papers
2026Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers
2026NeuralFur: Animal Fur Reconstruction from Multi-view Images
2025MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion
2025MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation
2025An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
2022mooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization
2022MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes
2022Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes
2021DPFM: Deep Partial Functional Maps
2021Neural Disparity Refinement for Arbitrary Resolution Stereo
2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
2020Grasping Field: Learning Implicit Representations for Human Grasps
2020MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video
2020Instant Recovery of Shape from Spectrum via Latent Space Connections
2020RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
2018Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis
2018Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
2018PCN: Point Completion Network
2017Learning Human Motion Models for Long-term Predictions
2017Sparsity Invariant CNNs
2017Fast Incremental Bundle Adjustment with Covariance Recovery
2016Depth from Gradients in Dense Light Fields for Object Reconstruction
2016SceneNN: a Scene Meshes Dataset with aNNotations
2016Progressive 3D Modeling All the Way
2015Towards Probabilistic Volumetric Reconstruction using Ray Potentials
2015x-hour Outdoor Photometric Stereo
20143D Tracking of Multiple Objects with Identical Appearance using RGB-D Input
2014aTGV-SF: Dense Variational Scene Flow through Projective Warping and Higher Order Regularization
2013The Visual Turing Test for Scene Reconstruction
2013Robust Human Body Shape and Pose Tracking

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