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08/22/2023
Approaching human 3D shape perception with neurally mappable models
Humans effortlessly infer the 3D shape of objects. What computations und...
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06/20/2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Denoising diffusion models are a powerful type of generative models used...
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05/31/2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Reconstruction of 3D neural fields from posed images has emerged as a pr...
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04/17/2023
Learning to Render Novel Views from Wide-Baseline Stereo Pairs
We introduce a method for novel view synthesis given only a single wide-...
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04/06/2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
Differentiable volumetric rendering is a powerful paradigm for 3D recons...
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07/22/2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Human perception reliably identifies movable and immovable parts of 3D s...
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05/31/2022
Decomposing NeRF for Editing via Feature Field Distillation
Emerging neural radiance fields (NeRF) are a promising scene representat...
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05/08/2022
Unsupervised Discovery and Composition of Object Light Fields
Neural scene representations, both continuous and discrete, have recentl...
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12/09/2021
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
We present Neural Descriptor Fields (NDFs), an object representation tha...
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11/22/2021
Neural Fields in Visual Computing and Beyond
Recent advances in machine learning have created increasing interest in ...
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11/11/2021
Learning Signal-Agnostic Manifolds of Neural Fields
Deep neural networks have been used widely to learn the latent structure...
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07/08/2021
3D Neural Scene Representations for Visuomotor Control
Humans have a strong intuitive understanding of the 3D environment aroun...
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06/07/2021
Deep Medial Fields
Implicit representations of geometry, such as occupancy fields or signed...
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06/04/2021
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Inferring representations of 3D scenes from 2D observations is a fundame...
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06/17/2020
MetaSDF: Meta-learning Signed Distance Functions
Neural implicit shape representations are an emerging paradigm that offe...
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06/17/2020
Implicit Neural Representations with Periodic Activation Functions
Implicitly defined, continuous, differentiable signal representations pa...
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04/08/2020
State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
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03/28/2020
Inferring Semantic Information with 3D Neural Scene Representations
Biological vision infers multi-modal 3D representations that support rea...
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06/04/2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
The advent of deep learning has given rise to neural scene representatio...
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12/03/2018
DeepVoxels: Learning Persistent 3D Feature Embeddings
In this work, we address the lack of 3D understanding of generative neur...
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06/13/2018
Movie Editing and Cognitive Event Segmentation in Virtual Reality Video
Traditional cinematography has relied for over a century on a well-estab...
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05/22/2017
Unrolled Optimization with Deep Priors
A broad class of problems at the core of computational imaging, sensing,...
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01/23/2017
Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data
Real-world sensors suffer from noise, blur, and other imperfections that...
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12/13/2016
