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Novel View Synthesis datasets
archive 2025-07-2846 datasets carry the task tag "Novel View Synthesis" (the task itself: Novel View Synthesis), ordered by the archive's paper count. Page 1 of 1: 46 shown of 46. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Novel View Synthesis 46
Novel View Synthesis datasets 1–46 of 46
NeRF (Neural Radiance Fields)
Neural Radiance Fields (NeRF) is a method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
3,892 papers · 1 benchmark
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the Toyota Technological Institute at Chicago, USA.
1,947 papers · 13 benchmarks
SYNTHIA (SYNTHetic Collection of Imagery and Annotations)
The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and comes with pixel-level semantic annotations for 13 classes.
538 papers · 10 benchmarks
Mip-NeRF 360 (Unbounded Anti-Aliased Neural Radiance Fields)
Mip-NeRF 360 is an extension to the Mip-NeRF that uses a non-linear parameterization, online distillation, and a novel distortion-based regularize to overcome the challenge of unbounded scenes.
347 papers · 1 benchmark
LLFF (Local Light Field Fusion)
Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of complex real-world scenes for virtual exploration.
340 papers · 4 benchmarks
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations.
246 papers · 7 benchmarks
BlendedMVS is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS.
105 papers · 0 benchmarks
OmniObject3D is a large vocabulary 3D object dataset with massive high-quality real-scanned 3D objects.
70 papers · 0 benchmarks
We present a benchmark for image-based 3D reconstruction.
55 papers · 2 benchmarks
ACID (Aerial Coastline Imagery Dataset)
ACID consists of thousands of aerial drone videos of different coastline and nature scenes on YouTube.
41 papers · 1 benchmark
This dataset focus on two blur types: camera motion blur and defocus blur.
34 papers · 0 benchmarks
We introduce our new dataset, Spaces, to provide a more challenging shared dataset for future view synthesis research.
32 papers · 0 benchmarks
ScanNet++ (ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes)
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, and commodity RGB-D streams from iPhone.
25 papers · 5 benchmarks
The PhotoShape dataset consists of photorealistic, relightable, 3D shapes produced by the work proposed in the work of Park et al.
22 papers · 1 benchmark
The shiny folder contains 8 scenes with challenging view-dependent effects used in our paper.
17 papers · 0 benchmarks
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark.
16 papers · 3 benchmarks
RTMV is a large-scale synthetic dataset for novel view synthesis consisting of ∼300k images rendered from nearly 2000 complex scenes using high-quality ray tracing at high resolution (1600 × 1600 pixels).
15 papers · 1 benchmark
RealEstate10K is a large dataset of camera poses corresponding to 10 million frames derived from about 80,000 video clips, gathered from about 10,000 YouTube videos.
14 papers · 1 benchmark
This is a gun detection dataset with 51K annotated gun images for gun detection and other 51K cropped gun chip images for gun classification collected from a few different sources.
9 papers · 6 benchmarks
X3D is a dataset containing 15 scenes and covering 4 applications for X-ray 3D reconstruction.
8 papers · 2 benchmarks
OMMO is a new benchmark for several outdoor NeRF-based tasks, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.
7 papers · 0 benchmarks
HDR-GS (HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting)
This is dataset for high dynamic range novel view synthesis.
5 papers · 1 benchmark
NERDS 360 (NeRF for Reconstruction, Decomposition and Scene Synthesis of 360° outdoor scenes)
We present a large-scale dataset for 3D urban scene understanding.
5 papers · 0 benchmarks
RefRef (RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects)
RefRef is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects.
5 papers · 1 benchmark
SWORD ('Scenes with occluded regions' dataset)
The new dataset contains around 1,500 train videos and 290 test videos, with 50 frames per video on average.
4 papers · 1 benchmark
BLEFF (Blender Forward Facing Dataset)
Synthetic (Blender) Dataset for forward facing scenes Toe vaualte NVS quality and camera parameter accuracy.
3 papers · 1 benchmark
UASOL (A large-scale high-resolution outdoor stereo dataset)
The UASOL an RGB-D stereo dataset, that contains 160902 frames, filmed at 33 different scenes, each with between 2 k and 10 k frames.
3 papers · 1 benchmark
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
This is the dataset for the CGF 2021 paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks".
2 papers · 1 benchmark
The Deep Blending Dataset comprises 19 diverse scenes, offering comprehensive resources for free-viewpoint image-based rendering (IBR).
2 papers · 1 benchmark
2 papers · 0 benchmarks
NRHints-RealCapture (NRHints Real Captured Objects)
A high-quality captured dataset for object relighting.
2 papers · 0 benchmarks
NRHints-Synthetic (NRHints Synthetic Relighting Scenes)
A high-quality synthetic dataset for object relighting.
2 papers · 0 benchmarks
SILVR (A Synthetic Immersive Large-Volume Plenoptic Dataset)
We present SILVR, a dataset of light field images for six-degrees-of-freedom navigation in large fully-immersive volumes.
2 papers · 0 benchmarks
SPARF is a large-scale ShapeNet-based synthetic dataset for novel view synthesis consisting of ~17 million images rendered from nearly 40,000 shapes at high resolution (400×400 pixels).
2 papers · 0 benchmarks
iFF (Intrinsic Forward Facing)
Real-world dataset on forward facing scenes with different camera intrinisc parameters.
2 papers · 1 benchmark
A real-world low-light camera motion blur dataset for evaluating deblurring radiance fields methods.
1 paper · 0 benchmarks
The first large-scale dataset for training and evaluating novel-view synthesis from blurred images.
1 paper · 0 benchmarks
LLNeRF Dataset is a real-world dataset as a benchmark for model learning and evaluation.
1 paper · 0 benchmarks
Replay is a collection of multi-view, multi-modal videos of humans interacting socially.
1 paper · 0 benchmarks
This synthetic event dataset is used in Robust e-NeRF to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera.
1 paper · 0 benchmarks
Synthetic dataset comprising three different environments for multi-camera dynamic novel view synthesis for soccer.
1 paper · 0 benchmarks
Dataset of paired thermal and RGB images comprising ten diverse scenes—six indoor and four outdoor scenes— for 3D scene reconstruction and novel view synthesis (e.g.
1 paper · 0 benchmarks
1 paper · 0 benchmarks
HuSc3D (Human Sculpture dataset for 3D object reconstruction)
HuSc3D is a novel dataset specifically designed for rigorous benchmarking of 3D reconstruction models under realistic acquisition challenges.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.