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04/24/2023
Pointersect: Neural Rendering with Cloud-Ray Intersection
We propose a novel method that renders point clouds as if they are surfa...
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04/04/2023
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
Recent works on 3D reconstruction from posed images have demonstrated th...
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03/27/2023
FaceLit: Neural 3D Relightable Faces
We propose a generative framework, FaceLit, capable of generating a 3D f...
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03/24/2023
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
The recent amalgamation of transformer and convolutional designs has led...
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10/26/2022
Naturalistic Head Motion Generation from Speech
Synthesizing natural head motion to accompany speech for an embodied con...
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07/21/2022
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
Recent isotropic networks, such as ConvMixer and vision transformers, ha...
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06/08/2022
An Improved One millisecond Mobile Backbone
Efficient neural network backbones for mobile devices are often optimize...
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03/23/2022
NeuMan: Neural Human Radiance Field from a Single Video
Photorealistic rendering and reposing of humans is important for enablin...
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10/08/2021
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
When deploying deep learning models to a device, it is traditionally ass...
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10/08/2021
Token Pooling in Vision Transformers
Despite the recent success in many applications, the high computational ...
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12/09/2020
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
To detect bias in face recognition networks, it can be useful to probe a...
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08/31/2020
GIF: Generative Interpretable Faces
Photo-realistic visualization and animation of expressive human faces ha...
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10/24/2019
Learning Multi-Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
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10/22/2019
Attacking Optical Flow
Deep neural nets achieve state-of-the-art performance on the problem of ...
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07/31/2019
Learning to Dress 3D People in Generative Clothing
Three-dimensional human body models are widely used in the analysis of h...
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07/31/2019
Dressing 3D Humans using a Conditional Mesh-VAE-GAN
Three-dimensional human body models are widely used in the analysis of h...
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05/08/2019
Capture, Learning, and Synthesis of 3D Speaking Styles
Audio-driven 3D facial animation has been widely explored, but achieving...
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07/26/2018
Generating 3D faces using Convolutional Mesh Autoencoders
Learned 3D representations of human faces are useful for computer vision...
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06/14/2018
Learning Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
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05/24/2018
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
We address the unsupervised learning of several interconnected problems ...
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11/03/2016