3 accepted papers
Diffusion models, known for their success in various generative tasks like image generation and super-resolution, are applied in this study for point cloud generation, a field that has not been extensively explored due to the complexity of point clouds. We propose a novel method using a diffusion mo…
Generative Adversarial Networks (GANs) are often used in face sketch synthesis due to their powerful ability in image generation. However, most GAN based synthesis methods took the entire face as the minimum unit. Differently, we propose a novel fine-granularity face sketch synthesis framework in th…
Fine-grained sketch-based image retrieval (FG-SBIR) aims at aligning images and sketches at the instance level. It is a challenging task as there are significant differences between sketch and image. Existing methods usually produce less desired performance due to the lack of large-scale fine-graine…