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20172026
most citedEfficient Geometry-aware 3D Generative Adversarial Networks

46 citations · 196 across the 34 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 7 cited

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

Chenhongyi Yang, Jiarui Xu, Shalini De Mello +2

We present the Group Propagation Vision Transformer (GPViT): a novel nonhierarchical (i.e. non-pyramidal) transformer model designed for general visual recognition with high-resolu…

cs.CV2022★ 1 cited

GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields

Alessandro Ruzzi, Xiangwei Shi, Xi Wang +5

We propose GazeNeRF, a 3D-aware method for the task of gaze redirection. Existing gaze redirection methods operate on 2D images and struggle to generate 3D consistent results. Inst…

cs.CV2022

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs

Jiteng Mu, Shalini De Mello, Zhiding Yu +4

Recent advances show that Generative Adversarial Networks (GANs) can synthesize images with smooth variations along semantically meaningful latent directions, such as pose, express…

cs.CV2022★ 3 cited

FreeSOLO: Learning to Segment Objects without Annotations

Xinlong Wang, Zhiding Yu, Shalini De Mello +4

Instance segmentation is a fundamental vision task that aims to recognize and segment each object in an image. However, it requires costly annotations such as bounding boxes and se…

cs.CV2022★ 12 cited

GroupViT: Semantic Segmentation Emerges from Text Supervision

Jiarui Xu, Shalini De Mello, Sifei Liu +4

Grouping and recognition are important components of visual scene understanding, e.g., for object detection and semantic segmentation. With end-to-end deep learning systems, groupi…