While only the semantics of each task differ, current research focuses on designing specialized architectures for each task.
Ranked #1 on Panoptic Segmentation on COCO minival
In this work, we introduce this approach into the realm of encoder-based inversion.
Ranked #1 on Fine-tuning on 2021 Hotel-ID
A reverse dictionary takes descriptions of words as input and outputs words semantically matching the input descriptions.
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
Ranked #1 on Blind Face Restoration on CelebA-Test
We introduce a prototype model and provide an open-source and extensible toolkit called OpenUE for various extraction tasks.
Moving from data to latent space allows us to train more expressive generative models, apply SGMs to non-continuous data, and learn smoother SGMs in a smaller space, resulting in fewer network evaluations and faster sampling.
Ranked #1 on Image Generation on CIFAR-10
Due to the complex nature of this multimodal task, which combines text reasoning, video understanding, instance segmentation and tracking, existing approaches typically rely on sophisticated pipelines in order to tackle it.
Ranked #1 on Referring Expression Segmentation on A2D Sentences