三维视觉论文趋势 2023–2026
三维重建与神经渲染
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 3,226 篇被归入该主题的论文。
主要结论
- 三维视觉论文从 2023 年的 563 篇增长到 2026 年的 1,010 篇,三年间扩大到约 1.8 倍。
- CVPR 是发三维视觉论文最多的会议,2023–2026 年共 1,641 篇,占四个会议总量的 51%。
- 交叉方向里涨得最快的是高斯过程:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 158 篇。
- 在「计算机视觉」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的视频理解是 2.6 倍,三维视觉是 1.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 152 | 56 | 22 | 333 | 563 |
| 2024 | 222 | 96 | 44 | 389 | 751 |
| 2025 | 254 | 162 | 52 | 434 | 902 |
| 2026 | 211 | 197 | 117 | 485 | 1,010 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- 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
全部三维视觉论文
共 751 篇,第 11 / 16 页
- ICML 2024HyperFields: Towards Zero-Shot Generation of NeRFs from Text
- ICML 2024IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
- ICML 2024Improving Interpretation Faithfulness for Vision Transformers
- ICML 2024Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
- ICML 2024Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
- ICML 2024Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
- ICML 2024Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
- ICML 2024Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
- ICML 2024Neural NeRF Compression
- ICML 2024NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
- ICML 2024NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
- ICML 2024OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
- ICML 2024OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
- ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
- ICML 2024PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
- ICML 2024Position: Do Not Explain Vision Models Without Context
- ICML 2024Positive Concave Deep Equilibrium Models
- ICML 2024Profile Reconstruction from Private Sketches
- ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
- ICML 2024Robust Inverse Graphics via Probabilistic Inference
- ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
- ICML 2024Statistical Test for Attention Maps in Vision Transformers
- ICML 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
- ICML 2024Toward Availability Attacks in 3D Point Clouds
- ICML 2024TVE: Learning Meta-attribution for Transferable Vision Explainer
- ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
- ICML 2024Vision Transformers as Probabilistic Expansion from Learngene
- ICML 2024Weisfeiler Leman for Euclidean Equivariant Machine Learning
- ICML 2024When Will Gradient Regularization Be Harmful?
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
- NeurIPS 20243D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
- NeurIPS 20243D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
- NeurIPS 20243D Gaussian Splatting as Markov Chain Monte Carlo
- NeurIPS 20243DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
- NeurIPS 20243DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
- NeurIPS 20243DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
- NeurIPS 20244D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
- NeurIPS 20244Diffusion: Multi-view Video Diffusion Model for 4D Generation
- NeurIPS 20244Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models
- NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
- NeurIPS 2024A General Protocol to Probe Large Vision Models for 3D Physical Understanding
- NeurIPS 2024A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
- NeurIPS 2024A Unified Framework for 3D Scene Understanding
- NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
- NeurIPS 2024Any2Policy: Learning Visuomotor Policy with Any-Modality
- NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
- NeurIPS 2024Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval
- NeurIPS 2024Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
- NeurIPS 2024AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查三维视觉在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "3d-vision"}
常见问题
- 2023–2026 年四大会议一共有多少篇三维视觉论文?
- 共 3,226 篇,按年份分别是 2023 年 563 篇、2024 年 751 篇、2025 年 902 篇、2026 年 1,010 篇。
- NeurIPS 2026 有多少篇三维视觉论文?
- NeurIPS 2026 有 211 篇三维视觉论文,上一届是 254 篇。
- ICLR 2026 有多少篇三维视觉论文?
- ICLR 2026 有 197 篇三维视觉论文,上一届是 162 篇。
- ICML 2026 有多少篇三维视觉论文?
- ICML 2026 有 117 篇三维视觉论文,上一届是 52 篇。
- CVPR 2026 有多少篇三维视觉论文?
- CVPR 2026 有 485 篇三维视觉论文,上一届是 434 篇。
- 哪个会议的三维视觉论文最多?
- CVPR,2023–2026 年共 1,641 篇。