Andrea Tagliasacchi

research

∙ 09/06/2023

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Neural Radiance Fields (NeRFs) have shown promise in applications like v...

0 Lily Goli, et al. ∙

research

∙ 06/15/2023

Neural Fields with Hard Constraints of Arbitrary Differential Order

While deep learning techniques have become extremely popular for solving...

0 Fangcheng Zhong, et al. ∙

research

∙ 05/24/2023

Unsupervised Semantic Correspondence Using Stable Diffusion

Text-to-image diffusion models are now capable of generating images that...

0 Eric Hedlin, et al. ∙

research

∙ 05/12/2023

BlendFields: Few-Shot Example-Driven Facial Modeling

Generating faithful visualizations of human faces requires capturing bot...

0 Kacper Kania, et al. ∙

research

∙ 03/21/2023

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

In this work, we introduce CC3D, a conditional generative model that syn...

0 Sherwin Bahmani, et al. ∙

research

∙ 02/02/2023

RobustNeRF: Ignoring Distractors with Robust Losses

Neural radiance fields (NeRF) excel at synthesizing new views given mult...

0 Sara Sabour, et al. ∙

research

∙ 11/29/2022

SparsePose: Sparse-View Camera Pose Regression and Refinement

Camera pose estimation is a key step in standard 3D reconstruction pipel...

1 Samarth Sinha, et al. ∙

research

∙ 11/28/2022

OpenScene: 3D Scene Understanding with Open Vocabularies

Traditional 3D scene understanding approaches rely on labeled 3D dataset...

0 Songyou Peng, et al. ∙

research

∙ 11/21/2022

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

This paper presents an end-to-end neural mapping method for camera local...

0 Shitao Tang, et al. ∙

research

∙ 11/03/2022

nerf2nerf: Pairwise Registration of Neural Radiance Fields

We introduce a technique for pairwise registration of neural fields that...

0 Lily Goli, et al. ∙

research

∙ 10/13/2022

CUF: Continuous Upsampling Filters

Neural fields have rapidly been adopted for representing 3D signals, but...

0 Cristina Vasconcelos, et al. ∙

research

∙ 10/06/2022

Novel View Synthesis with Diffusion Models

We present 3DiM, a diffusion model for 3D novel view synthesis, which is...

0 Daniel Watson, et al. ∙

research

∙ 09/21/2022

Attention Beats Concatenation for Conditioning Neural Fields

Neural fields model signals by mapping coordinate inputs to sampled valu...

53 Daniel Rebain, et al. ∙

research

∙ 08/29/2022

Volume Rendering Digest (for NeRF)

Neural Radiance Fields employ simple volume rendering as a way to overco...

0 Andrea Tagliasacchi, et al. ∙

research

∙ 07/30/2022

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

Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synt...

0 Zhiqin Chen, et al. ∙

research

∙ 07/20/2022

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

We introduce a method for instance proposal generation for 3D point clou...

9 Weiwei Sun, et al. ∙

research

∙ 05/31/2022

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

Given a monocular video, segmenting and decoupling dynamic objects while...

0 Tianhao Wu, et al. ∙

research

∙ 05/09/2022

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

We present Panoptic Neural Fields (PNF), an object-aware neural scene re...

32 Abhijit Kundu, et al. ∙

research

∙ 12/09/2021

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

We present Neural Descriptor Fields (NDFs), an object representation tha...

7 Anthony Simeonov, et al. ∙

research

∙ 12/03/2021

CoNeRF: Controllable Neural Radiance Fields

We extend neural 3D representations to allow for intuitive and interpret...

0 Kacper Kania, et al. ∙

research

∙ 11/29/2021

Urban Radiance Fields

The goal of this work is to perform 3D reconstruction and novel view syn...

0 Konstantinos Rematas, et al. ∙

research

∙ 11/25/2021

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

We present NeSF, a method for producing 3D semantic fields from posed RG...

0 Suhani Vora, et al. ∙

research

∙ 11/25/2021

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

A classical problem in computer vision is to infer a 3D scene representa...

0 Mehdi S. M. Sajjadi, et al. ∙

research

∙ 11/25/2021

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

Neural Radiance Field (NeRF) is a popular method in data-driven 3D recon...

0 Naruya Kondo, et al. ∙

research

∙ 11/19/2021

LOLNeRF: Learn from One Look

We present a method for learning a generative 3D model based on neural r...

23 Daniel Rebain, et al. ∙

research

∙ 08/10/2021

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

Recently, huge strides were made in monocular and multi-view pose estima...

31 Ben Usman, et al. ∙

research

∙ 06/07/2021

Deep Medial Fields

Implicit representations of geometry, such as occupancy fields or signed...

0 Daniel Rebain, et al. ∙

research

∙ 04/25/2021

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

Invariance and equivariance to the rotation group have been widely discu...

11 Congyue Deng, et al. ∙

research

∙ 03/25/2021

COTR: Correspondence Transformer for Matching Across Images

We propose a novel framework for finding correspondences in images based...

0 Wei Jiang, et al. ∙

research

∙ 12/18/2020

Human 3D keypoints via spatial uncertainty modeling

We introduce a technique for 3D human keypoint estimation that directly ...

5 Francis Williams, et al. ∙

research

∙ 12/08/2020

Canonical Capsules: Unsupervised Capsules in Canonical Pose

We propose an unsupervised capsule architecture for 3D point clouds. We ...

6 Weiwei Sun, et al. ∙

research

∙ 11/27/2020

Unsupervised part representation by Flow Capsules

Capsule networks are designed to parse an image into a hierarchy of obje...

2 Sara Sabour, et al. ∙

research

∙ 11/25/2020

DeRF: Decomposed Radiance Fields

With the advent of Neural Radiance Fields (NeRF), neural networks can no...

8 Daniel Rebain, et al. ∙

research

∙ 10/21/2020

Voronoi Convolutional Neural Networks

In this technical report, we investigate extending convolutional neural ...

0 Soroosh Yazdani, et al. ∙

research

∙ 10/10/2020

LSMAT Least Squares Medial Axis Transform

The medial axis transform has applications in numerous fields including ...

0 Daniel Rebain, et al. ∙

research

∙ 06/17/2020

CoSE: Compositional Stroke Embeddings

We present a generative model for stroke-based drawing tasks which is ab...

7 Emre Aksan, et al. ∙

research

∙ 06/14/2020

ShapeFlow: Learnable Deformations Among 3D Shapes

We present ShapeFlow, a flow-based model for learning a deformation spac...

0 Chiyu "Max" Jiang, et al. ∙

research

∙ 05/18/2020

Deep Implicit Volume Compression

We describe a novel approach for compressing truncated signed distance f...

1 Danhang Tang, et al. ∙

research

∙ 04/06/2020

NiLBS: Neural Inverse Linear Blend Skinning

In this technical report, we investigate efficient representations of ar...

0 Timothy Jeruzalski, et al. ∙

research

∙ 12/08/2019

VoronoiNet: General Functional Approximators with Local Support

Voronoi diagrams are highly compact representations that are used in var...

0 Francis Williams, et al. ∙

research

∙ 12/06/2019

NASA: Neural Articulated Shape Approximation

Efficient representation of articulated objects such as human bodies is ...

8 Timothy Jeruzalski, et al. ∙

research

∙ 09/12/2019

CvxNets: Learnable Convex Decomposition

Any solid object can be decomposed into a collection of convex polytopes...

16 Boyang Deng, et al. ∙

research

∙ 09/12/2019

CvxNet: Learnable Convex Decomposition

Any solid object can be decomposed into a collection of convex polytopes...

0 Boyang Deng, et al. ∙

research

∙ 07/04/2019

Attentive Context Normalization for Robust Permutation-Equivariant Learning

Many problems in computer vision require dealing with sparse, unstructur...

0 Weiwei Sun, et al. ∙

research

∙ 06/12/2019

VIPER: Volume Invariant Position-based Elastic Rods

We extend the formulation of position-based rods to include elastic volu...

0 Baptiste Angles, et al. ∙

research

∙ 05/29/2019

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

Volumetric (4D) performance capture is fundamental for AR/VR content gen...

0 Rohit Pandey, et al. ∙

research

∙ 01/22/2019

Linearized Multi-Sampling for Differentiable Image Transformation

We propose a novel image sampling method for differentiable image transf...

0 Wei Jiang, et al. ∙

research

∙ 11/26/2018

MIST: Multiple Instance Spatial Transformer Network

We propose a deep network that can be trained to tackle image reconstruc...

0 Baptiste Angles, et al. ∙

research

∙ 11/16/2017

HandSeg: A Dataset for Hand Segmentation from Depth Images

We introduce a large-scale RGBD hand segmentation dataset, with detailed...

0 Sri Raghu Malireddi, et al. ∙

research

∙ 05/19/2017

Espresso: Efficient Forward Propagation for BCNNs

There are many applications scenarios for which the computational perfor...

0 Fabrizio Pedersoli, et al. ∙

Andrea Tagliasacchi

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