Zhaoyang Lyu | DeepAI

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∙ 08/29/2023

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

We present DiffBIR, which leverages pretrained text-to-image diffusion m...

0 Xinqi Lin, et al. ∙

∙ 08/18/2023

MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR

Based on powerful text-to-image diffusion models, text-to-3D generation ...

0 Xudong Xu, et al. ∙

∙ 04/03/2023

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Existing image restoration methods mostly leverage the posterior distrib...

0 Ben Fei, et al. ∙

∙ 03/14/2023

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Mesh generation is of great value in various applications involving comp...

0 Zhaoyang Lyu, et al. ∙

∙ 05/30/2022

Guided Diffusion Model for Adversarial Purification

With wider application of deep neural networks (DNNs) in various algorit...

3 Jinyi Wang, et al. ∙

∙ 05/25/2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...

21 Zhaoyang Lyu, et al. ∙

∙ 12/07/2021

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

3D point cloud is an important 3D representation for capturing real worl...

0 Zhaoyang Lyu, et al. ∙

∙ 04/01/2021

Towards Evaluating and Training Verifiably Robust Neural Networks

Recent works have shown that interval bound propagation (IBP) can be use...

0 Zhaoyang Lyu, et al. ∙

∙ 12/02/2019

Fastened CROWN: Tightened Neural Network Robustness Certificates

The rapid growth of deep learning applications in real life is accompani...

0 Zhaoyang Lyu, et al. ∙

∙ 05/17/2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks

The vulnerability to adversarial attacks has been a critical issue for d...

0 Ching-Yun Ko, et al. ∙

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