activity
20162024
most citedToward Multimodal Image-to-Image Translation

1k citations · 2.6k across the 43 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 1 cited

Perspective Fields for Single Image Camera Calibration

Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy +4

Geometric camera calibration is often required for applications that understand the perspective of the image. We propose perspective fields as a representation that models the loca…

cs.CV2022

3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene

Animesh Karnewar, Oliver Wang, Tobias Ritschel +1

We introduce 3inGAN, an unconditional 3D generative model trained from 2D images of a single self-similar 3D scene. Such a model can be used to produce 3D "remixes" of a given scen…

cs.CV2022★ 3 cited

Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

This paper investigates the challenge of extracting highlight moments from videos. To perform this task, we need to understand what constitutes a highlight for arbitrary video doma…

cs.HC2022★ 6 cited

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory…

cs.CV2022★ 3 cited

Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image

Wei Yin, Jianming Zhang, Oliver Wang +4

Despite significant progress made in the past few years, challenges remain for depth estimation using a single monocular image. First, it is nontrivial to train a metric-depth pred…

cs.CV2022★ 4 cited

Towards Domain-agnostic Depth Completion

Guangkai Xu, Wei Yin, Jianming Zhang +4

Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, n…