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07/21/2023
PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations
We present a new category of physics-informed neural networks called phy...
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04/10/2023
ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation
Domain adaptation of 3D portraits has gained more and more attention. Ho...
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04/08/2023
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and ...
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11/29/2022
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation
Neural Radiance Fields (NeRF) methods have proved effective as compact, ...
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10/23/2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems
Although Physics-Informed Neural Networks (PINNs) have been successfully...
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09/03/2022
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
Existing Binary Neural Networks (BNNs) mainly operate on local convoluti...
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02/13/2022
Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions
Deep image inpainting research mainly focuses on constructing various ne...
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07/31/2021
