3D Vision papers, 2023–2026
3D reconstruction and neural rendering
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,226 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 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 |
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
152 papers, page 1 of 4
- NeurIPS 2023[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
- NeurIPS 2023$p$-Poisson surface reconstruction in curl-free flow from point clouds
- NeurIPS 2023$SE(3)$ Equivariant Convolution and Transformer in Ray Space
- NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
- NeurIPS 20233D Indoor Instance Segmentation in an Open-World
- NeurIPS 20233D-Aware Visual Question Answering about Parts, Poses and Occlusions
- NeurIPS 20233D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
- NeurIPS 2023A Comprehensive Benchmark for Neural Human Radiance Fields
- NeurIPS 2023A Dataset of Relighted 3D Interacting Hands
- NeurIPS 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
- NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
- NeurIPS 2023AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
- NeurIPS 2023All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
- NeurIPS 2023Autodecoding Latent 3D Diffusion Models
- NeurIPS 2023AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
- NeurIPS 2023Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
- NeurIPS 2023Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction
- NeurIPS 2023Binarized Spectral Compressive Imaging
- NeurIPS 2023Binary Radiance Fields
- NeurIPS 2023CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
- NeurIPS 2023CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
- NeurIPS 2023CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
- NeurIPS 2023CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
- NeurIPS 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
- NeurIPS 2023Compact Neural Volumetric Video Representations with Dynamic Codebooks
- NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
- NeurIPS 2023Connecting Multi-modal Contrastive Representations
- NeurIPS 2023ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
- NeurIPS 2023Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
- NeurIPS 2023Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
- NeurIPS 2023CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
- NeurIPS 2023D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
- NeurIPS 2023DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
- NeurIPS 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
- NeurIPS 2023Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
- NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
- NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
- NeurIPS 2023Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
- NeurIPS 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
- NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
- NeurIPS 2023DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
- NeurIPS 2023Diverse Shape Completion via Style Modulated Generative Adversarial Networks
- NeurIPS 2023DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization
- NeurIPS 2023DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
- NeurIPS 2023DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
- NeurIPS 2023E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
- NeurIPS 2023Energy-Based Sliced Wasserstein Distance
- NeurIPS 2023Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
- NeurIPS 2023EPIC Fields: Marrying 3D Geometry and Video Understanding
- NeurIPS 2023Equivariant Single View Pose Prediction Via Induced and Restriction Representations
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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.