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05/05/2023
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
Modern generators render talking-head videos with impressive levels of p...
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12/21/2021
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
Rendering articulated objects while controlling their poses is critical ...
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12/15/2021
Efficient Geometry-aware 3D Generative Adversarial Networks
Unsupervised generation of high-quality multi-view-consistent images and...
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05/12/2021
Neural Trajectory Fields for Dynamic Novel View Synthesis
Recent approaches to render photorealistic views from a limited set of p...
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04/16/2021
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Deep-learning-based algorithms have led to impressive results in visual-...
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01/12/2021
Binary TTC: A Temporal Geofence for Autonomous Navigation
Time-to-contact (TTC), the time for an object to collide with the observ...
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08/20/2020
Generative View Synthesis: From Single-view Semantics to Novel-view Images
Content creation, central to applications such as virtual reality, can b...
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05/14/2020
Bi3D: Stereo Depth Estimation via Binary Classifications
Stereo-based depth estimation is a cornerstone of computer vision, with ...
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04/02/2020
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
This paper presents a new method to synthesize an image from arbitrary v...
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01/06/2020
Meshlet Priors for 3D Mesh Reconstruction
Estimating a mesh from an unordered set of sparse, noisy 3D points is a ...
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07/31/2019
Video Stitching for Linear Camera Arrays
Despite the long history of image and video stitching research, existing...
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04/10/2019
Pixel-Adaptive Convolutional Neural Networks
Convolutions are the fundamental building block of CNNs. The fact that t...
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12/12/2018
Extreme View Synthesis
We present Extreme View Synthesis, a solution for novel view extrapolati...
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10/23/2018
A Fusion Approach for Multi-Frame Optical Flow Estimation
To date, top-performing optical flow estimation methods only take pairs ...
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07/26/2018
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Scene motion, multiple reflections, and sensor noise introduce artifacts...
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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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12/06/2017
Separating Reflection and Transmission Images in the Wild
The reflections caused by common semi-reflectors, such as glass windows,...
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12/03/2016
Deep Learning with Energy-efficient Binary Gradient Cameras
Power consumption is a critical factor for the deployment of embedded co...
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11/28/2015
Loss Functions for Neural Networks for Image Processing
Neural networks are becoming central in several areas of computer vision...
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04/07/2015
