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12/02/2022
QFF: Quantized Fourier Features for Neural Field Representations
Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent appr...
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10/14/2022
Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling
Recent work in multi-view stereo (MVS) combines learnable photometric sc...
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06/14/2022
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
We consider the problem of synthesizing multi-action human motion sequen...
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08/19/2021
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
Recent learning-based multi-view stereo (MVS) methods show excellent per...
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02/18/2020
Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Prior work in multi-task learning has mainly focused on predictions on a...
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10/21/2019
Improving Style Transfer with Calibrated Metrics
Style transfer methods produce a transferred image which is a rendering ...
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10/09/2019
3D Manhattan Room Layout Reconstruction from a Single 360 Image
Recent approaches for predicting layouts from 360 panoramas produce exce...
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09/03/2019
Counterfactual Depth from a Single RGB Image
We describe a method that predicts, from a single RGB image, a depth map...
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07/29/2019
Silhouette Guided Point Cloud Reconstruction beyond Occlusion
One major challenge in 3D reconstruction is to infer the complete shape ...
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03/23/2018
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
We propose an algorithm to predict room layout from a single image that ...
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10/25/2017
Complete 3D Scene Parsing from Single RGBD Image
Inferring the location, shape, and class of each object in a single imag...
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08/04/2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
The success of various applications including robotics, digital content ...
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04/09/2015
