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08/15/2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Content and style (C-S) disentanglement is a fundamental problem and cri...
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05/26/2023
Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache
Traditional inverse rendering techniques are based on textured meshes, w...
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04/26/2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Neural Radiance Fields (NeRF) has shown great success in novel view synt...
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03/23/2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
This paper presents a new adversarial training framework for image inpai...
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11/28/2022
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Arbitrary style transfer (AST) transfers arbitrary artistic styles onto ...
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08/27/2022
AesUST: Towards Aesthetic-Enhanced Universal Style Transfer
Recent studies have shown remarkable success in universal style transfer...
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03/01/2022
E-LMC: Extended Linear Model of Coregionalization for Predictions of Spatial Fields
Physical simulations based on partial differential equations typically g...
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12/06/2021
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
In this paper, we present the texture reformer, a fast and universal neu...
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01/16/2021
Diversified Patch-based Style Transfer with Shifted Style Normalization
Gram-based and patch-based approaches are two important research lines o...
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08/08/2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
In this paper, we present a novel framework that can achieve multimodal ...
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07/06/2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Bayesian optimization (BO) is a popular framework to optimize black-box ...
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06/08/2020
Physics Regularized Gaussian Processes
We consider incorporating incomplete physics knowledge, expressed as dif...
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06/08/2020
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
The key task of physical simulation is to solve partial differential equ...
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03/25/2020
Scalable Variational Gaussian Process Regression Networks
Gaussian process regression networks (GPRN) are powerful Bayesian models...
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10/16/2019
Deep Coregionalization for the Emulation of Spatial-Temporal Fields
Data-driven surrogate models are widely used for applications such as de...
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09/18/2019
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Image style transfer is an underdetermined problem, where a large number...
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01/21/2019
On Compression of Unsupervised Neural Nets by Pruning Weak Connections
Unsupervised neural nets such as Restricted Boltzmann Machines(RBMs) and...
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12/18/2018
Consistent Robust Adversarial Prediction for General Multiclass Classification
We propose a robust adversarial prediction framework for general multicl...
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11/18/2018