289 citations · 917 across the 73 of their papers we have counts for
59 papers · 1 filter
Empowering Image Recovery_ A Multi-Attention Approach
Juan Wen, Yawei Li, Chao Zhang +3
We propose Diverse Restormer (DART), a novel image restoration method that effectively integrates information from various sources (long sequences, local and global regions, featur…
Self-Explainable Affordance Learning with Embodied Caption
Zhipeng Zhang, Zhimin Wei, Guolei Sun +2
In the field of visual affordance learning, previous methods mainly used abundant images or videos that delineate human behavior patterns to identify action possibility regions for…
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
Saman Motamed, Wouter Van Gansbeke, Luc Van Gool
With recent advances in image and video diffusion models for content creation, a plethora of techniques have been proposed for customizing their generated content. In particular, m…
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
Rui Li, Tobias Fischer, Mattia Segu +3
Recovering the 3D scene geometry from a single view is a fundamental yet ill-posed problem in computer vision. While classical depth estimation methods infer only a 2.5D scene repr…
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
Wencan Cheng, Hao Tang, Luc Van Gool +1
Extracting keypoint locations from input hand frames, known as 3D hand pose estimation, is a critical task in various human-computer interaction applications. Essentially, the 3D h…
A Unified and Interpretable Emotion Representation and Expression Generation
Reni Paskaleva, Mykyta Holubakha, Andela Ilic +3
Canonical emotions, such as happy, sad, and fearful, are easy to understand and annotate. However, emotions are often compound, e.g. happily surprised, and can be mapped to the act…