3D Vision papers, 2023–2026

Key findings

• 3D Vision went from 563 papers in 2023 to 1,010 in 2026, roughly 1.8x in three years.
• CVPR publishes the most 3D Vision work: 1,641 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Gaussian Processes: papers tagged with both rose from 0 in 2023 to 158 in 2026.
• Among the 5 topics under Computer Vision, it ranks #2 by 2026 paper count; the fastest grower in the group, Video Understanding, is up 2.6x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\alpha$Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
• ICML 20263D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity Transport
• ICLR 2026$\pi^3$: Permutation-Equivariant Visual Geometry Learning
• CVPR 20262D-LFM Lifting Foundation Model without 3D Supervision
• NeurIPS 20251000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
• ICML 20253D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
• ICLR 20253D StreetUnveiler with Semantic-aware 2DGS - a simple baseline
• CVPR 20253D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
• NeurIPS 20243D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
• ICML 20243D Geometric Shape Assembly via Efficient Point Cloud Matching
• ICLR 20243D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
• CVPR 2024DaReNeRF: Direction-aware Representation for Dynamic Scenes
• NeurIPS 2023[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
• ICML 2023Efficient Graph Field Integrators Meet Point Clouds
• ICLR 2023$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
• CVPR 20233D Cinemagraphy From a Single Image
• NeurIPS 2026$R^3$: 3D Reconstruction via Relative Regression
• ICML 20263DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise Classification
• ICLR 20263DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras
• CVPR 20263D Gaussian Splatting at Arbitrary Resolutions with Compact Proxy Anchors

All 3D Vision papers

3,224 papers, page 49 of 65

2401. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
2402. ICML 2024COALA: A Practical and Vision-Centric Federated Learning Platform
2403. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
2404. ICML 2024Data-efficient Large Vision Models through Sequential Autoregression
2405. ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
2406. ICML 2024ERQ: Error Reduction for Post-Training Quantization of Vision Transformers
2407. ICML 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
2408. ICML 2024GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
2409. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
2410. ICML 2024GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
2411. ICML 2024HyperFields: Towards Zero-Shot Generation of NeRFs from Text
2412. ICML 2024IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
2413. ICML 2024Improving Interpretation Faithfulness for Vision Transformers
2414. ICML 2024Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
2415. ICML 2024Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
2416. ICML 2024Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
2417. ICML 2024Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
2418. ICML 2024Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
2419. ICML 2024Neural NeRF Compression
2420. ICML 2024NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
2421. ICML 2024NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
2422. ICML 2024OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
2423. ICML 2024OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
2424. ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
2425. ICML 2024PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
2426. ICML 2024Position: Do Not Explain Vision Models Without Context
2427. ICML 2024Positive Concave Deep Equilibrium Models
2428. ICML 2024Profile Reconstruction from Private Sketches
2429. ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
2430. ICML 2024Robust Inverse Graphics via Probabilistic Inference
2431. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
2432. ICML 2024Statistical Test for Attention Maps in Vision Transformers
2433. ICML 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
2434. ICML 2024Toward Availability Attacks in 3D Point Clouds
2435. ICML 2024TVE: Learning Meta-attribution for Transferable Vision Explainer
2436. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
2437. ICML 2024Vision Transformers as Probabilistic Expansion from Learngene
2438. ICML 2024Weisfeiler Leman for Euclidean Equivariant Machine Learning
2439. ICML 2024When Will Gradient Regularization Be Harmful?
2440. NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
2441. NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
2442. NeurIPS 20243D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
2443. NeurIPS 20243D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
2444. NeurIPS 20243D Gaussian Splatting as Markov Chain Monte Carlo
2445. NeurIPS 20243DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
2446. NeurIPS 20243DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
2447. NeurIPS 20243DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
2448. NeurIPS 20244D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
2449. NeurIPS 20244Diffusion: Multi-view Video Diffusion Model for 4D Generation
2450. NeurIPS 20244Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models

FAQ

How many 3D Vision papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,226 in total: 563 in 2023, 751 in 2024, 902 in 2025, 1,010 in 2026.

How many 3D Vision papers are at NeurIPS 2026?

NeurIPS 2026 has 211 3D Vision papers, versus 254 the year before.

How many 3D Vision papers are at ICLR 2026?

ICLR 2026 has 197 3D Vision papers, versus 162 the year before.

How many 3D Vision papers are at ICML 2026?

ICML 2026 has 117 3D Vision papers, versus 52 the year before.

How many 3D Vision papers are at CVPR 2026?

CVPR 2026 has 485 3D Vision papers, versus 434 the year before.

Which conference publishes the most 3D Vision papers?

CVPR, with 1,641 papers from 2023 to 2026.