Trending Research
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
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.
Collaborative Neural Rendering using Anime Character Sheets
Drawing images of characters at desired poses is an essential but laborious task in anime production.
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
microsoft/2D-TAN
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It is a challenging problem because a target moment may take place in the context of other temporal moments in the untrimmed video.
FRA-RIR: Fast Random Approximation of the Image-source Method
yluo42/fra-rir
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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.
Expanding Language-Image Pretrained Models for General Video Recognition
microsoft/VideoX
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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
Package for Fast ABC-Boost
Although the gain formula in Li (2010) was derived for logistic regression loss, it is a generic formula for loss functions with second-derivatives.
GAUDI: A Neural Architect for Immersive 3D Scene Generation
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
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
This paper presents Deepchecks, a Python library for comprehensively validating machine learning models and data.
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
We observe that MIM essentially teaches the model to learn better middle-level interactions among patches and extract more generalized features.
Artificial Intelligence and Machine Learning for Quantum Technologies
In recent years, the dramatic progress in machine learning has begun to impact many areas of science and technology significantly.
