output
20052026
most citedUnsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

6.9k citations

Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 1 cited

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

Yuan Xue, Yuan-Chen Guo, Han Zhang +3

In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have…

cs.CV2021★ 1 cited

Style Similarity as Feedback for Product Design

Mathew Schwartz, Tomer Weiss, Esra Ataer-Cansizoglu +1

Matching and recommending products is beneficial for both customers and companies. With the rapid increase in home goods e-commerce, there is an increasing demand for quantitative…

cs.CV2021★ 287 cited

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Adrien Bardes, Jean Ponce, Yann LeCun

Recent self-supervised methods for image representation learning are based on maximizing the agreement between embedding vectors from different views of the same image. A trivial s…

cs.CV2021★ 263 cited

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

Thomas Neff, Pascal Stadlbauer, Mathias Parger +5

The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting inf…

cs.CV2021★ 46 cited

Supervision by Registration and Triangulation for Landmark Detection

Xuanyi Dong, Yi Yang, Shih-En Wei +3

We present Supervision by Registration and Triangulation (SRT), an unsupervised approach that utilizes unlabeled multi-view video to improve the accuracy and precision of landmark…