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07/04/2023
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
This technical report summarizes the winning solution for the 3D Occupan...
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03/24/2023
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
We present a near real-time method for 6-DoF tracking of an unknown obje...
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02/14/2023
Score-based Diffusion Models in Function Space
Diffusion models have recently emerged as a powerful framework for gener...
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09/21/2022
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation
Given a portrait image of a person and an environment map of the target ...
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06/20/2022
Global Context Vision Transformers
We propose global context vision transformer (GC ViT), a novel architect...
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05/14/2022
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
We present a large-scale synthetic dataset for novel view synthesis cons...
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10/10/2021
NViT: Vision Transformer Compression and Parameter Redistribution
Transformers yield state-of-the-art results across many tasks. However, ...
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07/13/2021
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Understanding the behavior and vulnerability of pre-trained deep neural ...
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06/10/2021
Score-based Generative Modeling in Latent Space
Score-based generative models (SGMs) have recently demonstrated impressi...
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01/29/2021
Neural 3D Clothes Retargeting from a Single Image
In this paper, we present a method of clothes retargeting; generating th...
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10/06/2020
NCP-VAE: Variational Autoencoders with Noise Contrastive Priors
Variational autoencoders (VAEs) are one of the powerful likelihood-based...
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08/20/2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Point cloud registration is a fundamental problem in 3D computer vision,...
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07/08/2020
NVAE: A Deep Hierarchical Variational Autoencoder
Normalizing flows, autoregressive models, variational autoencoders (VAEs...
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02/21/2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
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11/05/2019
Dancing to Music
Dancing to music is an instinctive move by humans. Learning to model the...
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10/28/2019
Few-shot Video-to-Video Synthesis
Video-to-video synthesis (vid2vid) aims at converting an input semantic ...
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01/08/2019
Neural Inverse Rendering of an Indoor Scene from a Single Image
Inverse rendering aims to estimate physical scene attributes (e.g., refl...
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12/10/2018
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
This paper proposes a deep neural architecture, PlaneRCNN, that detects ...
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08/20/2018
Video-to-Video Synthesis
We study the problem of video-to-video synthesis, whose goal is to learn...
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02/19/2018
A Closed-form Solution to Photorealistic Image Stylization
Photorealistic image style transfer algorithms aim at stylizing a conten...
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09/07/2017
