7 accepted papers
Current diffusion-based makeup transfer methods commonly use the makeup information encoded by off-the-shelf foundation models (e.g., CLIP) as condition to preserve the makeup style of reference image in the generation. Although effective, these works mainly have two limitations: (1) foundation mode
Current training-free text-driven image translation primarily uses diffusion features (convolution and attention) of pre-trained model as guidance to preserve the style/structure of source image in translated image. However, the coarse guidance at feature level struggles with style (e.g., visual pat…
Gaze estimation models often experience significant performance degradation on cross-domain tests. Existing methods enforce the model to concentrate on isolating gaze-pertinent features by filtering out irrelevant ones. This paper proposes an advanced generalized framework for gaze estimation, which…
Capitalizing on the talent of self-attention in capturing non-local features, Transformer architectures have exhibited remarkable performance in single hyperspectral image restoration. For hyperspectral images, each pixel is located in the hyperspectral image cubes with a large spectral dimension an…
The sense of touch is fundamental to grasping and manipulating objects. Similarly, the interaction between the robot and the outside world also requires tactile sensors to provide tactile information to ensure that when grasping fragile objects, the object will not be broken because the grasping for
Self-supervised pre-training has been proved to be effective in learning transferable representations that benefit various visual tasks. This paper asks this question: can self-supervised pre-training learn general facial representations for various facial analysis tasks? Recent efforts toward this…
To improve daily customer experience, kitchen assistant becomes one of the enabled service in intelligent voice assistants, presenting personalized and relevant recipes to satisfy customer requests. Current solutions for recipe recommendation suffers from two limitations: First, user-recipe interact…