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09/09/2023
Neural Semantic Surface Maps
We present an automated technique for computing a map between two genus-...
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09/04/2023
BLiSS: Bootstrapped Linear Shape Space
Morphable models are fundamental to numerous human-centered processes as...
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08/28/2023
HoloFusion: Towards Photo-realistic 3D Generative Modeling
Diffusion-based image generators can now produce high-quality and divers...
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05/09/2023
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
Programs are an increasingly popular representation for visual data, exp...
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04/21/2023
Factored Neural Representation for Scene Understanding
A long-standing goal in scene understanding is to obtain interpretable a...
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03/22/2023
Pix2Video: Video Editing using Image Diffusion
Image diffusion models, trained on massive image collections, have emerg...
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11/17/2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Diffusion models currently achieve state-of-the-art performance for both...
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10/25/2022
Search for Concepts: Discovering Visual Concepts Using Direct Optimization
Finding an unsupervised decomposition of an image into individual object...
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09/23/2022
Motion Guided Deep Dynamic 3D Garments
Realistic dynamic garments on animated characters have many AR/VR applic...
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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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07/03/2022
MatFormer: A Generative Model for Procedural Materials
Procedural material graphs are a compact, parameteric, and resolution-in...
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05/27/2022
Video2StyleGAN: Disentangling Local and Global Variations in a Video
Image editing using a pretrained StyleGAN generator has emerged as a pow...
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05/22/2022
ReLU Fields: The Little Non-linearity That Could
In many recent works, multi-layer perceptions (MLPs) have been shown to ...
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04/05/2022
Neural Convolutional Surfaces
This work is concerned with a representation of shapes that disentangles...
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03/14/2022
InsetGAN for Full-Body Image Generation
While GANs can produce photo-realistic images in ideal conditions for ce...
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01/25/2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
We present ShapeFormer, a transformer-based network that produces a dist...
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12/09/2021
CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions
The success of StyleGAN has enabled unprecedented semantic editing capab...
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11/10/2021
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Synthesizing dynamic appearances of humans in motion plays a central rol...
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08/31/2021
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Representing human-made objects as a collection of base primitives has a...
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07/12/2021
CurveFusion: Reconstructing Thin Structures from RGBD Sequences
We introduce CurveFusion, the first approach for high quality scanning o...
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06/12/2021
A Multi-Implicit Neural Representation for Fonts
Fonts are ubiquitous across documents and come in a variety of styles. T...
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06/08/2021
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras
Synthesizing novel views of dynamic humans from stationary monocular cam...
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06/01/2021
Consistent Two-Flow Network for Tele-Registration of Point Clouds
Rigid registration of partial observations is a fundamental problem in v...
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05/30/2021
Z2P: Instant Rendering of Point Clouds
We present a technique for rendering point clouds using a neural network...
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04/13/2021
ShapeMOD: Macro Operation Discovery for 3D Shape Programs
A popular way to create detailed yet easily controllable 3D shapes is vi...
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03/31/2021
Neural Surface Maps
Maps are arguably one of the most fundamental concepts used to define an...
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02/23/2021
Generative Modelling of BRDF Textures from Flash Images
We learn a latent space for easy capture, semantic editing, consistent i...
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02/23/2021
Dynamic Neural Garments
A vital task of the wider digital human effort is the creation of realis...
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02/04/2021
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Vector graphics are widely used to represent fonts, logos, digital artwo...
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12/15/2020
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
Multi-object tracking from RGB-D video sequences is a challenging proble...
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09/17/2020
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
Manually authoring 3D shapes is difficult and time consuming; generative...
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09/10/2020
Sketch2CAD: Sequential CAD Modeling by Sketching in Context
We present a sketch-based CAD modeling system, where users create object...
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09/03/2020
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Shape deformation is an important component in any geometry processing t...
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08/10/2020
Deep Detail Enhancement for Any Garment
Creating fine garment details requires significant efforts and huge comp...
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07/20/2020
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
A key step in any scanning-based asset creation workflow is to convert u...
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06/18/2020
Neural Graphics Pipeline for Controllable Image Generation
We present Neural Graphics Pipeline (NGP), a hybrid generative model tha...
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12/09/2019
Learning a Neural 3D Texture Space from 2D Exemplars
We propose a generative model of 2D and 3D natural textures with diversi...
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07/01/2019
Going Deeper with Point Networks
In this work, we introduce three generic point cloud processing blocks t...
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05/26/2019
Unsupervised Intuitive Physics from Past Experiences
We are interested in learning models of intuitive physics similar to the...
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03/29/2019
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
As 3D scanning solutions become increasingly popular, several deep learn...
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01/04/2019
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds
Point clouds obtained with 3D scanners or by image-based reconstruction ...
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07/02/2018
Simplifying Urban Data Fusion with BigSUR
Our ability to understand data has always lagged behind our ability to c...
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06/29/2018
Learning a Shared Shape Space for Multimodal Garment Design
Designing real and virtual garments is becoming extremely demanding with...
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06/20/2018
iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos
A long-standing challenge in scene analysis is the recovery of scene arr...
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06/19/2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
Coarse building mass models are now routinely generated at scales rangin...
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05/08/2018
Learning on the Edge: Explicit Boundary Handling in CNNs
Convolutional neural networks (CNNs) handle the case where filters exten...
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10/23/2017
Joint Material and Illumination Estimation from Photo Sets in the Wild
Faithful manipulation of shape, material, and illumination in 2D Interne...
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10/13/2017
PCPNET: Learning Local Shape Properties from Raw Point Clouds
In this paper, we propose a deep-learning based approach for estimating ...
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05/22/2017
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
In the context of scene understanding, a variety of methods exists to es...
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03/01/2017