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06/05/2023
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Neural surface reconstruction has been shown to be powerful for recoveri...
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03/30/2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
We present DiffCollage, a compositional diffusion model that can generat...
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02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
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11/18/2022
Magic3D: High-Resolution Text-to-3D Content Creation
DreamFusion has recently demonstrated the utility of a pre-trained text-...
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11/17/2022
SPACEx: Speech-driven Portrait Animation with Controllable Expression
Animating portraits using speech has received growing attention in recen...
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11/02/2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Large-scale diffusion-based generative models have led to breakthroughs ...
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10/04/2022
Implicit Warping for Animation with Image Sets
We present a new implicit warping framework for image animation using se...
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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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06/07/2022
Generating Long Videos of Dynamic Scenes
We present a video generation model that accurately reproduces object mo...
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12/09/2021
Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Existing conditional image synthesis frameworks generate images based on...
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11/08/2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
We introduce DMTet, a deep 3D conditional generative model that can synt...
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06/26/2021
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Representing deep neural networks (DNNs) in low-precision is a promising...
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04/15/2021
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
We present GANcraft, an unsupervised neural rendering framework for gene...
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11/30/2020
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
We propose a neural talking-head video synthesis model and demonstrate i...
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10/21/2020
UFO^2: A Unified Framework towards Omni-supervised Object Detection
Existing work on object detection often relies on a single form of annot...
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08/06/2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
The generative adversarial network (GAN) framework has emerged as a powe...
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07/16/2020
World-Consistent Video-to-Video Synthesis
Video-to-video synthesis (vid2vid) aims for converting high-level semant...
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07/15/2020
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
Unsupervised image-to-image translation intends to learn a mapping of an...
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06/25/2020
Learning compositional functions via multiplicative weight updates
Compositionality is a basic structural feature of both biological and ar...
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04/09/2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Weakly supervised learning has emerged as a compelling tool for object d...
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03/02/2020
Style Example-Guided Text Generation using Generative Adversarial Transformers
We introduce a language generative model framework for generating a styl...
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02/16/2020
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
Text style transfer refers to the task of rephrasing a given text in a d...
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02/09/2020
On the distance between two neural networks and the stability of learning
How far apart are two neural networks? This is a foundational question i...
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12/16/2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
Neural architecture search (NAS) aims to discover network architectures ...
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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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06/28/2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
As 3D point clouds become the representation of choice for multiple visi...
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05/05/2019
Few-Shot Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation methods learn to map images in a...
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04/25/2019
Meta-Sim: Learning to Generate Synthetic Datasets
Training models to high-end performance requires availability of large l...
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04/19/2019
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
In this paper, we propose Spatio-TEmporal Progressive (STEP) action dete...
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04/02/2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively chall...
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03/21/2019
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Urban traffic optimization using traffic cameras as sensors is driving t...
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03/18/2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
We propose spatially-adaptive normalization, a simple but effective laye...
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12/06/2018
Context-Aware Synthesis and Placement ofObject Instances
Learning to insert an object instance into an image in a semantically co...
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12/06/2018
Context-Aware Synthesis and Placement of Object Instances
Learning to insert an object instance into an image in a semantically co...
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09/14/2018
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
We investigate two crucial and closely related aspects of CNNs for optic...
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09/11/2018
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Most of the existing works on image description focus on generating expr...
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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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07/26/2018
Superpixel Sampling Networks
Superpixels provide an efficient low/mid-level representation of image d...
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07/24/2018
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation
Deep neural networks have largely failed to effectively utilize syntheti...
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04/12/2018
Multimodal Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation is an important and challenging ...
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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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01/16/2018
Localization-Aware Active Learning for Object Detection
Active learning - a class of algorithms that iteratively searches for th...
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01/16/2018
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Motion blur is a fundamental problem in computer vision as it impacts im...
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12/14/2017
Learning Binary Residual Representations for Domain-specific Video Streaming
We study domain-specific video streaming. Specifically, we target a stre...
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11/30/2017
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
We present a new method for synthesizing high-resolution photo-realistic...
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10/02/2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Deep reinforcement learning has shown promising results in learning cont...
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09/07/2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
We present a compact but effective CNN model for optical flow, called PW...
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07/17/2017
MoCoGAN: Decomposing Motion and Content for Video Generation
Visual signals in a video can be divided into content and motion. While ...
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05/27/2017