Andrea Tagliasacchi

Orcid: 0000-0002-2209-7187

According to our database¹, Andrea Tagliasacchi authored at least 112 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

SMITE: Segment Me In TimE.

[BibT_eX]

[DOI]

Amirhossein Alimohammadi

Sauradip Nag

Saeid Asgari Taghanaki

Andrea Tagliasacchi

Ghassan Hamarneh

Ali Mahdavi-Amiri

CoRR, 2024

Lagrangian Hashing for Compressed Neural Field Representations.

[BibT_eX]

[DOI]

Shrisudhan Govindarajan

Zeno Sambugaro

Akhmedkhan Ahan Shabanov

CoRR, 2024

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

[BibT_eX]

[DOI]

CoRR, 2024

Controlling Space and Time with Diffusion Models.

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[DOI]

CoRR, 2024

SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting.

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[DOI]

CoRR, 2024

Does Gaussian Splatting need SFM Initialization?

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[DOI]

CoRR, 2024

3D Gaussian Splatting as Markov Chain Monte Carlo.

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[DOI]

CoRR, 2024

PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Volumetric Rendering with Baked Quadrature Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Lagrangian Hashing for Compressed Neural Field Representations.

[BibT_eX]

[DOI]

Shrisudhan Govindarajan

Proceedings of the Computer Vision - ECCV 2024, 2024

TC4D: Trajectory-Conditioned Text-to-4D Generation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction.

[BibT_eX]

[DOI]

Akhmedkhan Ahan Shabanov

Shrisudhan Govindarajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Accelerating Neural Field Training via Soft Mining.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Keypoints from Pretrained Diffusion Models.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Mesh Representations via Binary Space Partitioning Tree Networks.

[BibT_eX]

[DOI]

Zhiqin Chen

Andrea Tagliasacchi

Hao Zhang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Attention Beats Concatenation for Conditioning Neural Fields.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction.

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[DOI]

CoRR, 2023

Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation.

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[DOI]

CoRR, 2023

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Neural Fields with Hard Constraints of Arbitrary Differential Order.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Semantic Correspondence Using Stable Diffusion.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

nerf2nerf: Pairwise Registration of Neural Radiance Fields.

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[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Novel View Synthesis with Diffusion Models.

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[DOI]

Daniel Watson

William Chan

Ricardo Martin-Brualla

Jonathan Ho

Andrea Tagliasacchi

Mohammad Norouzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes.

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[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CUF: Continuous Upsampling Filters.

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[DOI]

Cristina Nader Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SparsePose: Sparse-View Camera Pose Regression and Refinement.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustNeRF: Ignoring Distractors with Robust Losses.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OpenScene: 3D Scene Understanding with Open Vocabularies.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BlendFields: Few-Shot Example-Driven Facial Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural dual contouring.

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[DOI]

ACM Trans. Graph., 2022

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Volume Rendering Digest (for NeRF).

[BibT_eX]

[DOI]

Andrea Tagliasacchi

Ben Mildenhall

CoRR, 2022

D<sup>2</sup>NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video.

[BibT_eX]

[DOI]

CoRR, 2022

D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Urban Radiance Fields.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LOLNeRF: Learn from One Look.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CoNeRF: Controllable Neural Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kubric: A scalable dataset generator.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Medial Fields.

[BibT_eX]

[DOI]

CoRR, 2021

Canonical Capsules: Self-Supervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Part Representation by Flow Capsules.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

COTR: Correspondence Transformer for Matching Across Images.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Vector Neurons: A General Framework for SO(3)-Equivariant Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DeRF: Decomposed Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MIST: Multiple Instance Spatial Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Human 3D keypoints via spatial uncertainty modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Canonical Capsules: Unsupervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

CoRR, 2020

Voronoi Convolutional Neural Networks.

[BibT_eX]

[DOI]

Soroosh Yazdani

Andrea Tagliasacchi

CoRR, 2020

ShapeFlow: Learnable Deformations Among 3D Shapes.

[BibT_eX]

[DOI]

CoRR, 2020

NiLBS: Neural Inverse Linear Blend Skinning.

[BibT_eX]

[DOI]

CoRR, 2020

Foreword to the Special Section on Graphics Interface.

[BibT_eX]

[DOI]

Andrea Tagliasacchi

Paul G. Kry

Comput. Graph., 2020

ShapeFlow: Learnable Deformation Flows Among 3D Shapes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CoSE: Compositional Stroke Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PIE-NET: Parametric Inference of Point Cloud Edges.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NASA Neural Articulated Shape Approximation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

VoronoiNet : General Functional Approximators with Local Support.

[BibT_eX]

[DOI]

Francis Williams

Jérôme Parent-Lévesque

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Implicit Volume Compression.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CvxNet: Learnable Convex Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BSP-Net: Generating Compact Meshes via Binary Space Partitioning.

[BibT_eX]

[DOI]

Zhiqin Chen

Andrea Tagliasacchi

Hao Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

Multi-robot collaborative dense scene reconstruction.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

VIPER: Volume Invariant Position-based Elastic Rods.

[BibT_eX]

[DOI]

Javier von der Pahlen

Shahram Izadi

Julien P. C. Valentin

Sofien Bouaziz

Andrea Tagliasacchi

Proc. ACM Comput. Graph. Interact. Tech., 2019

VoronoiNet: General Functional Approximators with Local Support.

[BibT_eX]

[DOI]

CoRR, 2019

NASA: Neural Articulated Shape Approximation.

[BibT_eX]

[DOI]

CoRR, 2019

CvxNets: Learnable Convex Decomposition.

[BibT_eX]

[DOI]

CoRR, 2019

Attentive Context Normalization for Robust Permutation-Equivariant Learning.

[BibT_eX]

[DOI]

CoRR, 2019

LSMAT Least Squares Medial Axis Transform.

[BibT_eX]

[DOI]

Daniel Rebain

Baptiste Angles

Julien P. C. Valentin

Comput. Graph. Forum, 2019

Incremental Labelling of Voronoi Vertices for Shape Reconstruction.

[BibT_eX]

[DOI]

Ramanathan Muthuganapathy

Comput. Graph. Forum, 2019

Linearized Multi-Sampling for Differentiable Image Transformation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning.

[BibT_eX]

[DOI]

Ricardo Martin-Brualla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images.

[BibT_eX]

[DOI]

Abhishake Kumar Bojja

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018

Real-time compression and streaming of 4D performances.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

The need 4 speed in real-time dense visual tracking.

[BibT_eX]

[DOI]

Julien P. C. Valentin

Shahram Izadi

ACM Trans. Graph., 2018

MIST: Multiple Instance Spatial Transformer Network.

[BibT_eX]

[DOI]

CoRR, 2018

Espresso: Efficient Forward Propagation for Binary Deep Neural Networks.

[BibT_eX]

[DOI]

Fabrizio Pedersoli

George Tzanetakis

Andrea Tagliasacchi

Proceedings of the 6th International Conference on Learning Representations, 2018

TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Online generative model personalization for hand tracking.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Sketch-based implicit blending.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

HandSeg: A Dataset for Hand Segmentation from Depth Images.

[BibT_eX]

[DOI]

Sri Raghu Malireddi

Franziska Mueller

Markus Oberweger

Abhishake Kumar Bojja

Vincent Lepetit

Christian Theobalt

Andrea Tagliasacchi

CoRR, 2017

Espresso: Efficient Forward Propagation for BCNNs.

[BibT_eX]

[DOI]

Fabrizio Pedersoli

George Tzanetakis

Andrea Tagliasacchi

CoRR, 2017

A Survey of Surface Reconstruction from Point Clouds.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Sphere-meshes for real-time hand modeling and tracking.

[BibT_eX]

[DOI]

Anastasia Tkach

Mark Pauly

Andrea Tagliasacchi

ACM Trans. Graph., 2016

3D Skeletons: A State-of-the-Art Report.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2016

Modern techniques and applications for real-time non-rigid registration.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

2015

Robust Articulated-ICP for Real-Time Hand Tracking.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2015

2014

High-contrast computational caustic design.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

Dynamic 2D/3D Registration.

[BibT_eX]

[DOI]

Sofien Bouaziz

Andrea Tagliasacchi

Mark Pauly

Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

State of the Art in Surface Reconstruction from Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

2013

Skeletal Representations and Applications

[BibT_eX]

[DOI]

Andrea Tagliasacchi

CoRR, 2013

Sparse Iterative Closest Point.

[BibT_eX]

[DOI]

Sofien Bouaziz

Andrea Tagliasacchi

Mark Pauly

Comput. Graph. Forum, 2013

2012

Mean Curvature Skeletons.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2012

2011

VASE: Volume-Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2011

Prior Knowledge for Part Correspondence.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2011

2010

Consensus Skeleton for Non-rigid Space-time Registration.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2010

Point Cloud Skeletons via Laplacian Based Contraction.

[BibT_eX]

[DOI]

Proceedings of the SMI 2010, 2010

2009

Partial intrinsic reflectional symmetry of 3D shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2009

Curve skeleton extraction from incomplete point cloud.

[BibT_eX]

[DOI]

Andrea Tagliasacchi

Hao Zhang

Daniel Cohen-Or

ACM Trans. Graph., 2009

Searching for Concurrent Design Patterns in Video Games.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2009 Parallel Processing, 2009

2008

Deformation-Driven Shape Correspondence.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2008

Andrea Tagliasacchi

Timeline

Legend:

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On csauthors.net:

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