三维视觉论文趋势 2023–2026

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。

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 839 篇，第 17 / 17 页

801. NeurIPS 2023PointGPT: Auto-regressively Generative Pre-training from Point Clouds
802. NeurIPS 2023PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
803. NeurIPS 2023PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
804. NeurIPS 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
805. NeurIPS 2023Prototypical Variational Autoencoder for 3D Few-shot Object Detection
806. NeurIPS 2023Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
807. NeurIPS 2023PyNeRF: Pyramidal Neural Radiance Fields
808. NeurIPS 2023Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
809. NeurIPS 2023RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
810. NeurIPS 2023RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
811. NeurIPS 2023Real3D-AD: A Dataset of Point Cloud Anomaly Detection
812. NeurIPS 2023Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
813. NeurIPS 2023RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
814. NeurIPS 2023ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction
815. NeurIPS 2023Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
816. NeurIPS 2023Scattering Vision Transformer: Spectral Mixing Matters
817. NeurIPS 2023SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
818. NeurIPS 2023Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
819. NeurIPS 2023Segment Anything in 3D with NeRFs
820. NeurIPS 2023Sensitivity in Translation Averaging
821. NeurIPS 2023ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
822. NeurIPS 2023Slot-guided Volumetric Object Radiance Fields
823. NeurIPS 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
824. NeurIPS 2023Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
825. NeurIPS 2023STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
826. NeurIPS 2023Template-free Articulated Neural Point Clouds for Reposable View Synthesis
827. NeurIPS 2023Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
828. NeurIPS 2023Triangulation Residual Loss for Data-efficient 3D Pose Estimation
829. NeurIPS 2023UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
830. NeurIPS 2023Uni3DETR: Unified 3D Detection Transformer
831. NeurIPS 2023Unified 3D Segmenter As Prototypical Classifiers
832. NeurIPS 2023Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
833. NeurIPS 2023Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
834. NeurIPS 2023UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field
835. NeurIPS 2023ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
836. NeurIPS 2023ViSt3D: Video Stylization with 3D CNN
837. NeurIPS 2023Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
838. NeurIPS 2023Weakly Supervised 3D Open-vocabulary Segmentation
839. NeurIPS 2023XAGen: 3D Expressive Human Avatars Generation

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。