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09/07/2023
Cross-Image Context Matters for Bongard Problems
Current machine learning methods struggle to solve Bongard problems, whi...
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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...
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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 ...
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05/25/2023
NAP: Neural 3D Articulation Prior
We propose Neural 3D Articulation Prior (NAP), the first 3D deep generat...
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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 ...
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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...
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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 ...
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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...
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04/01/2023
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
We propose a method that trains a neural radiance field (NeRF) to encode...
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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...
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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...
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03/23/2023
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruct...
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03/21/2023
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
In this work, we introduce CC3D, a conditional generative model that syn...
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03/16/2023
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Impressive progress in generative models and implicit representations ga...
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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...
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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...
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12/19/2022
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Creativity is an indispensable part of human cognition and also an inher...
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12/09/2022
LADIS: Language Disentanglement for 3D Shape Editing
Natural language interaction is a promising direction for democratizing ...
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12/08/2022
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
This work introduces alternating latent topologies (ALTO) for high-fidel...
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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 ...
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11/30/2022
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
Generative models have shown great promise in synthesizing photorealisti...
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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 ...
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10/04/2022
Affection: Learning Affective Explanations for Real-World Visual Data
In this work, we explore the emotional reactions that real-world images ...
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07/18/2022
NeuForm: Adaptive Overfitting for Neural Shape Editing
Neural representations are popular for representing shapes, as they can ...
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06/29/2022
3D-Aware Video Generation
Generative models have emerged as an essential building block for many i...
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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...
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01/28/2022
Directed Weight Neural Networks for Protein Structure Representation Learning
A protein performs biological functions by folding to a particular 3D st...
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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...
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12/15/2021
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
We propose a framework to continuously learn object-centric representati...
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12/15/2021
Efficient Geometry-aware 3D Generative Adversarial Networks
Unsupervised generation of high-quality multi-view-consistent images and...
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12/13/2021
PartGlot: Learning Shape Part Segmentation from Language Reference Games
We introduce PartGlot, a neural framework and associated architectures f...
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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...
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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...
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11/25/2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Disobeying the classical wisdom of statistical learning theory, modern d...
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07/27/2021
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
We describe a method for realistic depth synthesis that learns diverse v...
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06/29/2021
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
Contrary to the vast literature in modeling, perceiving, and understandi...
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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...
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06/04/2021
SketchGen: Generating Constrained CAD Sketches
Computer-aided design (CAD) is the most widely used modeling approach fo...
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05/17/2021
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
We present StrobeNet, a method for category-level 3D reconstruction of a...
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04/25/2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Invariance and equivariance to the rotation group have been widely discu...
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03/31/2021
Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the fie...
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01/19/2021
Joint Learning of 3D Shape Retrieval and Deformation
We propose a novel technique for producing high-quality 3D models that m...
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01/19/2021
Quantum Permutation Synchronization
We present QuantumSync, the first quantum algorithm for solving a synchr...
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01/19/2021
ArtEmis: Affective Language for Visual Art
We present a novel large-scale dataset and accompanying machine learning...
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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...
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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...
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12/08/2020
Active Visual Localization in Partially Calibrated Environments
Humans can robustly localize themselves without a map after they get los...
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11/26/2020
Generative Layout Modeling using Constraint Graphs
We propose a new generative model for layout generation. We generate lay...
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06/14/2020
ShapeFlow: Learnable Deformations Among 3D Shapes
We present ShapeFlow, a flow-based model for learning a deformation spac...
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06/14/2020
