Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives
In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …
often determines whether it is able to work well in complex scenes. The goal of this review …
Learning deep object detectors from 3d models
Crowdsourced 3D CAD models are easily accessible online, and can potentially generate
an infinite number of training images for almost any object category. We show that …
an infinite number of training images for almost any object category. We show that …
Comprehensive exploration of synthetic data generation: A survey
Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied
across diverse domains. However, progress is impeded by the scarcity of training data due …
across diverse domains. However, progress is impeded by the scarcity of training data due …
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
Abstract A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and
appearance of a scene. We here ask the question whether we can transfer the appearance …
appearance of a scene. We here ask the question whether we can transfer the appearance …
On rendering synthetic images for training an object detector
We propose a novel approach to synthesizing images that are effective for training object
detectors. Starting from a small set of real images, our algorithm estimates the rendering …
detectors. Starting from a small set of real images, our algorithm estimates the rendering …
Play and learn: Using video games to train computer vision models
Video games are a compelling source of annotated data as they can readily provide fine-
grained groundtruth for diverse tasks. However, it is not clear whether the synthetically …
grained groundtruth for diverse tasks. However, it is not clear whether the synthetically …
Deep reflectance maps
Undoing the image formation process and therefore decomposing appearance into its
intrinsic properties is a challenging task due to the under-constraint nature of this inverse …
intrinsic properties is a challenging task due to the under-constraint nature of this inverse …
Reflectance and natural illumination from single-material specular objects using deep learning
In this paper, we present a method that estimates reflectance and illumination information
from a single image depicting a single-material specular object from a given class under …
from a single image depicting a single-material specular object from a given class under …
Example-based synthesis of stylized facial animations
We introduce a novel approach to example-based stylization of portrait videos that
preserves both the subject's identity and the visual richness of the input style exemplar …
preserves both the subject's identity and the visual richness of the input style exemplar …
Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition
Recent progress in computer vision has been dominated by deep neural networks trained
over larges amount of labeled data. Collecting such datasets is however a tedious, often …
over larges amount of labeled data. Collecting such datasets is however a tedious, often …