In RDMs, a set of nearest neighbors is retrieved from an external database during training for each training instance, and the diffusion model is conditioned on these informative samples.
Drawing images of characters at desired poses is an essential but laborious task in anime production.
It is a challenging problem because a target moment may take place in the context of other temporal moments in the untrimmed video.
The training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in real-world, reverberant environments.
Extensive experiments demonstrate that our approach is effective and can be generalized to different video recognition scenarios.
Ranked #1 on Zero-Shot Action Recognition on Kinetics
We introduce GAUDI, a generative model capable of capturing the distribution of complex and realistic 3D scenes that can be rendered immersively from a moving camera.
Ranked #1 on Image Generation on ARKitScenes
This paper presents Deepchecks, a Python library for comprehensively validating machine learning models and data.
We observe that MIM essentially teaches the model to learn better middle-level interactions among patches and extract more generalized features.
In recent years, the dramatic progress in machine learning has begun to impact many areas of science and technology significantly.