The absolute depth values of surrounding environments provide crucial cu...
We introduce LDL, a fast and robust algorithm that localizes a panorama ...
Recent text-driven image editing in diffusion models has shown remarkabl...
Portrait stylization, which translates a real human face image into an
a...
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
Structure pruning is an effective method to compress and accelerate neur...
Text-to-3D generation has shown rapid progress in recent days with the a...
With the advantages of fast inference and human-friendly flexible
manipu...
Masked language modeling (MLM) has been widely used for pre-training
eff...
Inspired by the impressive performance of recent face image editing meth...
We present a robust, privacy-preserving visual localization algorithm us...
We propose a domain adaptation method, MoDA, which adapts a pretrained
e...
Recent methods for conditional image generation benefit from dense
super...
We present CPO, a fast and robust algorithm that localizes a 2D panorama...
We present Ev-NeRF, a Neural Radiance Field derived from event data. Whi...
Evaluation metrics in image synthesis play a key role to measure perform...
We introduce Ev-TTA, a simple, effective test-time adaptation algorithm ...
In the deep learning era, long video generation of high-quality still re...
In generative adversarial networks, improving discriminators is one of t...
We introduce N-ImageNet, a large-scale dataset targeted for robust,
fine...
We propose a light-weight, self-supervised adaptation for a visual navig...
We present SGoLAM, short for simultaneous goal localization and mapping,...
Single image camera calibration is the task of estimating the camera
par...
We present PICCOLO, a simple and efficient algorithm for omnidirectional...
Generative adversarial networks (GANs) synthesize realistic images from
...
We propose a neural geometric parser learning single image camera calibr...
We propose a novel method for unsupervised image-to-image translation, w...