Snavely, N.[Noah]
* 2004: Spacetime Faces: High-Resolution Capture for Modeling and Animation
* 2006: Photo Tourism: Exploring image collections in 3D
* 2006: Piecewise Image Registration in the Presence of Multiple Large Motions
* 2007: Multi-View Stereo for Community Photo Collections
* 2007: Scene Summarization for Online Image Collections
* 2008: Fast algorithms for L-inf problems in multiview geometry
* 2008: Finding Paths through the World's Photos
* 2008: Modeling the World from Internet Photo Collections
* 2008: Skeletal graphs for efficient structure from motion
* 2009: Alignment of 3D point clouds to overhead images
* 2009: Building Rome in a day
* 2009: Bundler: Structure from Motion for Unordered Image Collections
* 2009: dimensionality of scene appearance, The
* 2010: Bundle Adjustment in the Large
* 2010: Location Recognition Using Prioritized Feature Matching
* 2010: Reconstructing Rome
* 2010: Scene Reconstruction and Visualization From Community Photo Collections
* 2010: Towards computational models of kinship verification
* 2011: 3D exploitation of 2D ground-level & aerial imagery
* 2011: Building Rome in a Day
* 2011: Discrete-continuous optimization for large-scale structure from motion
* 2011: Where's Waldo: Matching people in images of crowds
* 2012: Image description with a goal: Building efficient discriminating expressions for images
* 2012: Image matching using local symmetry features
* 2012: Learning to Match Images in Large-Scale Collections
* 2012: MatchMiner: Efficient Spanning Structure Mining in Large Image Collections
* 2012: Modeling People and Places with Internet Photo Collections
* 2012: Recovering depth of a dynamic scene using real world motion prior
* 2012: Worldwide Pose Estimation Using 3D Point Clouds
* 2013: Accurate Georegistration of Point Clouds Using Geographic Data
* 2013: Graph-Based Discriminative Learning for Location Recognition
* 2013: Network Principles for SfM: Disambiguating Repeated Structures with Local Context
* 2013: NYC3DCars: A Dataset of 3D Vehicles in Geographic Context
* 2013: OpenSurfaces: A richly annotated catalog of surface appearance
* 2013: Photometric Ambient Occlusion
* 2013: SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
* 2014: Minimal Scene Descriptions from Structure from Motion Models
* 2014: Reasoning about Photo Collections using Models of Outdoor Illumination
* 2014: Robust Global Translations with 1DSfM
* 2014: Scene Chronology
* 2015: BubbLeNet: Foveated Imaging for Visual Discovery
* 2015: Graph-Based Discriminative Learning for Location Recognition
* 2015: Material recognition in the wild with the Materials in Context Database
* 2015: MINC Dataset
* 2015: Technical Perspective: Paris Beyond Frommer's
* 2016: Caliber: Camera Localization and Calibration Using Rigidity Constraints
* 2016: Deep Stereo: Learning to Predict New Views from the World's Imagery
* 2016: Photometric Ambient Occlusion for Intrinsic Image Decomposition
* 2016: When is Rotations Averaging Hard?
* 2017: Deep Feature Interpolation for Image Content Changes
* 2017: Shading Annotations in the Wild
* 2017: Unsupervised Learning of Depth and Ego-Motion from Video
* 2018: CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering
* 2018: Layer-Structured 3D Scene Inference via View Synthesis
* 2018: Learning Intrinsic Image Decomposition from Watching the World
* 2018: MegaDepth: Learning Single-View Depth Prediction from Internet Photos
* 2019: DeepView: View Synthesis With Learned Gradient Descent
* 2019: GeoStyle: Discovering Fashion Trends and Events
* 2019: Learning the Depths of Moving People by Watching Frozen People
* 2019: Leveraging Vision Reconstruction Pipelines for Satellite Imagery
* 2019: Neural Rerendering in the Wild
* 2019: Pushing the Boundaries of View Extrapolation With Multiplane Images
* 2019: TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
* 2019: UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images
* 2020: Crowdsampling the Plenoptic Function
* 2020: Depth Sensing Beyond LiDAR Range
* 2020: DualSDF: Semantic Shape Manipulation Using a Two-Level Representation
* 2020: Hidden Footprints: Learning Contextual Walkability from 3d Human Trails
* 2020: Learning Feature Descriptors Using Camera Pose Supervision
* 2020: Learning Gradient Fields for Shape Generation
* 2020: Learning to Factorize and Relight a City
* 2020: Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
* 2020: Single-View View Synthesis With Multiplane Images
* 2020: Visual Chirality
* 2021: De-rendering the World's Revolutionary Artefacts
* 2021: Extreme Rotation Estimation using Dense Correlation Volumes
* 2021: IBRNet: Learning Multi-View Image-Based Rendering
* 2021: Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
* 2021: KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
* 2021: MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People
* 2021: Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
* 2021: PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
* 2021: Repopulating Street Scenes
* 2021: Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
* 2021: Who's Waldo? Linking People Across Text and Images
* 2021: Wide-Baseline Relative Camera Pose Estimation with Directional Learning
* 2022: 3D Moments from Near-Duplicate Photos
* 2022: ARF: Artistic Radiance Fields
* 2022: Deformable Sprites for Unsupervised Video Decomposition
* 2022: InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
* 2022: IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
* 2022: Structure and Motion from Casual Videos
* 2023: Accidental Light Probes
* 2023: ASIC: Aligning Sparse in-the-wild Image Collections
* 2023: Doppelgangers: Learning to Disambiguate Images of Similar Structures
* 2023: DynIBaR: Neural Dynamic Image-Based Rendering
* 2023: Neural Lens Modeling
* 2023: Neural Scene Chronology
* 2023: Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
* 2023: Persistent Nature: A Generative Model of Unbounded 3D Worlds
* 2023: Seeing a Rose in Five Thousand Ways
* 2023: Tracking Everything Everywhere All at Once
Includes: Snavely, N.[Noah] Snavely, N.
102 for Snavely, N.