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08/07/2023
Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion
Infrared and visible image fusion has gradually proved to be a vital for...
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06/25/2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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05/19/2023
Few-shot 3D Shape Generation
Realistic and diverse 3D shape generation is helpful for a wide variety ...
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03/06/2023
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Video generation has achieved rapid progress benefiting from high-qualit...
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02/08/2023
Gestalt-Guided Image Understanding for Few-Shot Learning
Due to the scarcity of available data, deep learning does not perform we...
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01/17/2023
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a challenging cross-...
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11/07/2022
Few-shot Image Generation with Diffusion Models
Denoising diffusion probabilistic models (DDPMs) have been proven capabl...
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10/27/2022
Few-shot Image Generation via Masked Discrimination
Few-shot image generation aims to generate images of high quality and gr...
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09/30/2020
Teacher-Critical Training Strategies for Image Captioning
Existing image captioning models are usually trained by cross-entropy (X...
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03/08/2018
Rethinking Feature Distribution for Loss Functions in Image Classification
We propose a large-margin Gaussian Mixture (L-GM) loss for deep neural n...
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01/25/2017