Leonidas Guibas

research

∙ 09/07/2023

Cross-Image Context Matters for Bongard Problems

Current machine learning methods struggle to solve Bongard problems, whi...

0 Nikhil Raghuraman, et al. ∙

research

∙ 07/14/2023

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis

We address the problem of generating realistic 3D motions of humans inte...

0 Nilesh Kulkarni, et al. ∙

research

∙ 06/09/2023

Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions

What constitutes the "vibe" of a particular scene? What should one find ...

0 Ian Huang, et al. ∙

research

∙ 05/25/2023

NAP: Neural 3D Articulation Prior

We propose Neural 3D Articulation Prior (NAP), the first 3D deep generat...

0 Jiahui Lei, et al. ∙

research

∙ 05/25/2023

Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance

Equivariance has gained strong interest as a desirable network property ...

0 Congyue Deng, et al. ∙

research

∙ 05/04/2023

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization

There is a growing demand for the accessible creation of high-quality 3D...

3 Connor Z. Lin, et al. ∙

research

∙ 04/04/2023

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

Modeling the 3D world from sensor data for simulation is a scalable way ...

0 Bokui Shen, et al. ∙

research

∙ 04/04/2023

Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems

Predictive simulations are essential for applications ranging from weath...

0 Ivica Kičić, et al. ∙

research

∙ 04/01/2023

JacobiNeRF: NeRF Shaping with Mutual Information Gradients

We propose a method that trains a neural radiance field (NeRF) to encode...

0 Xiaomeng Xu, et al. ∙

research

∙ 03/31/2023

VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization

We propose VDN-NeRF, a method to train neural radiance fields (NeRFs) fo...

0 Bingfan Zhu, et al. ∙

research

∙ 03/27/2023

EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision

We introduce Equivariant Neural Field Expectation Maximization (EFEM), a...

0 Jiahui Lei, et al. ∙

research

∙ 03/23/2023

SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates

Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruct...

0 Mikaela Angelina Uy, 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

∙ 03/16/2023

PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision

Impressive progress in generative models and implicit representations ga...

0 Konstantinos Tertikas, et al. ∙

research

∙ 03/06/2023

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision

We address efficient and structure-aware 3D scene representation from im...

0 Xiaoshuai Zhang, et al. ∙

research

∙ 01/23/2023

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

Humans universally dislike the task of cleaning up a messy room. If mach...

2 Qiuhong Anna Wei, et al. ∙

research

∙ 12/19/2022

MetaCLUE: Towards Comprehensive Visual Metaphors Research

Creativity is an indispensable part of human cognition and also an inher...

0 Arjun R Akula, et al. ∙

research

∙ 12/09/2022

LADIS: Language Disentanglement for 3D Shape Editing

Natural language interaction is a promising direction for democratizing ...

0 Ian Huang, et al. ∙

research

∙ 12/08/2022

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction

This work introduces alternating latent topologies (ALTO) for high-fidel...

0 Zhen Wang, et al. ∙

research

∙ 12/06/2022

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

2D-to-3D reconstruction is an ill-posed problem, yet humans are good at ...

0 Congyue Deng, et al. ∙

research

∙ 11/30/2022

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

Generative models have shown great promise in synthesizing photorealisti...

0 Minjung Son, et al. ∙

research

∙ 10/29/2022

Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks

Equivariant networks have been adopted in many 3-D learning areas. Here ...

0 Sidhika Balachandar, et al. ∙

research

∙ 10/04/2022

Affection: Learning Affective Explanations for Real-World Visual Data

In this work, we explore the emotional reactions that real-world images ...

39 Panos Achlioptas, et al. ∙

research

∙ 07/18/2022

NeuForm: Adaptive Overfitting for Neural Shape Editing

Neural representations are popular for representing shapes, as they can ...

25 Connor Z. Lin, et al. ∙

research

∙ 06/29/2022

3D-Aware Video Generation

Generative models have emerged as an essential building block for many i...

21 Sherwin Bahmani, 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

∙ 01/28/2022

Directed Weight Neural Networks for Protein Structure Representation Learning

A protein performs biological functions by folding to a particular 3D st...

12 Jiahan Li, et al. ∙

research

∙ 12/17/2021

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders

We propose Point2Cyl, a supervised network transforming a raw 3D point c...

16 Mikaela Angelina Uy, et al. ∙

research

∙ 12/15/2021

Object Pursuit: Building a Space of Objects via Discriminative Weight Generation

We propose a framework to continuously learn object-centric representati...

4 Chuanyu Pan, et al. ∙

research

∙ 12/15/2021

Efficient Geometry-aware 3D Generative Adversarial Networks

Unsupervised generation of high-quality multi-view-consistent images and...

9 Eric R. Chan, et al. ∙

research

∙ 12/13/2021

PartGlot: Learning Shape Part Segmentation from Language Reference Games

We introduce PartGlot, a neural framework and associated architectures f...

1 Juil Koo, et al. ∙

research

∙ 12/10/2021

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes

Building embodied intelligent agents that can interact with 3D indoor en...

5 Qi Li, et al. ∙

research

∙ 12/01/2021

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

Perceiving and interacting with 3D articulated objects, such as cabinets...

7 Yian Wang, et al. ∙

research

∙ 11/25/2021

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks

Disobeying the classical wisdom of statistical learning theory, modern d...

3 Tolga Birdal, et al. ∙

research

∙ 07/27/2021

DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis

We describe a method for realistic depth synthesis that learns diverse v...

11 Yanchao Yang, et al. ∙

research

∙ 06/29/2021

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning

Contrary to the vast literature in modeling, perceiving, and understandi...

2 Kaichun Mo, et al. ∙

research

∙ 06/28/2021

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...

0 Ruihai Wu, et al. ∙

research

∙ 06/04/2021

SketchGen: Generating Constrained CAD Sketches

Computer-aided design (CAD) is the most widely used modeling approach fo...

7 Wamiq Reyaz Para, et al. ∙

research

∙ 05/17/2021

StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects

We present StrobeNet, a method for category-level 3D reconstruction of a...

8 Ge Zhang, 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

∙ 03/31/2021

Spectral Unions of Partial Deformable 3D Shapes

Spectral geometric methods have brought revolutionary changes to the fie...

9 Luca Moschella, et al. ∙

research

∙ 01/19/2021

Joint Learning of 3D Shape Retrieval and Deformation

We propose a novel technique for producing high-quality 3D models that m...

2 Mikaela Angelina Uy, et al. ∙

research

∙ 01/19/2021

Quantum Permutation Synchronization

We present QuantumSync, the first quantum algorithm for solving a synchr...

7 Tolga Birdal, et al. ∙

research

∙ 01/19/2021

ArtEmis: Affective Language for Visual Art

We present a novel large-scale dataset and accompanying machine learning...

9 Panos Achlioptas, et al. ∙

research

∙ 12/20/2020

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation

In this work, we introduce Deep Bingham Networks (DBN), a generic framew...

7 Haowen Deng, et al. ∙

research

∙ 12/08/2020

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Localizing the camera in a known indoor environment is a key building bl...

4 Siyan Dong, et al. ∙

research

∙ 12/08/2020

Active Visual Localization in Partially Calibrated Environments

Humans can robustly localize themselves without a map after they get los...

4 Yingda Yin, et al. ∙

research

∙ 11/26/2020

Generative Layout Modeling using Constraint Graphs

We propose a new generative model for layout generation. We generate lay...

5 Wamiq Para, 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

∙ 06/14/2020

Generative 3D Part Assembly via Dynamic Graph Learning

Autonomous part assembly is a challenging yet crucial task in 3D compute...

27 Jialei Huang, et al. ∙

Leonidas Guibas

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