b'Xintao Wang'

research

∙ 09/04/2023

StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation

This paper presents a LoRA-free method for stylized image generation tha...

0 Zhouxia Wang, et al. ∙

research

∙ 08/17/2023

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

Large language models (LLMs) have demonstrated impressive impact in the ...

0 Xintao Wang, et al. ∙

research

∙ 07/27/2023

GET3D–: Learning GET3D from Unconstrained Image Collections

The demand for efficient 3D model generation techniques has grown expone...

0 Fanghua Yu, et al. ∙

research

∙ 07/16/2023

Planting a SEED of Vision in Large Language Model

We present SEED, an elaborate image tokenizer that empowers Large Langua...

0 Yuying Ge, et al. ∙

research

∙ 07/05/2023

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Image super-resolution (SR) with generative adversarial networks (GAN) h...

0 Liangbin Xie, et al. ∙

research

∙ 07/05/2023

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

Despite the ability of existing large-scale text-to-image (T2I) models t...

0 Chong Mou, et al. ∙

research

∙ 06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...

0 Yunpeng Bai, et al. ∙

research

∙ 06/12/2023

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

Enhancing AI systems to perform tasks following human instructions can s...

0 Jiale Xu, et al. ∙

research

∙ 06/01/2023

Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance

Creating a vivid video from the event or scenario in our imagination is ...

0 Jinbo Xing, et al. ∙

research

∙ 06/01/2023

Inserting Anybody in Diffusion Models via Celeb Basis

Exquisite demand exists for customizing the pretrained large text-to-ima...

0 Ge Yuan, et al. ∙

research

∙ 05/29/2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Public large-scale text-to-image diffusion models, such as Stable Diffus...

10 Yuchao Gu, et al. ∙

research

∙ 04/17/2023

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Despite the success in large-scale text-to-image generation and text-con...

0 Mingdeng Cao, et al. ∙

research

∙ 02/16/2023

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

The incredible generative ability of large-scale text-to-image (T2I) mod...

0 Chong Mou, et al. ∙

research

∙ 02/07/2023

OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer

Omnidirectional images (ODIs) have obtained lots of research interest fo...

0 Fanghua Yu, et al. ∙

research

∙ 12/28/2022

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

Recent CLIP-guided 3D optimization methods, e.g., DreamFields and PureCL...

0 Jiale Xu, et al. ∙

research

∙ 12/22/2022

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

To reproduce the success of text-to-image (T2I) generation, recent works...

3 Jay Zhangjie Wu, et al. ∙

research

∙ 12/19/2022

Reference-based Image and Video Super-Resolution via C2-Matching

Reference-based Super-Resolution (Ref-SR) has recently emerged as a prom...

0 Yuming Jiang, et al. ∙

research

∙ 12/14/2022

Mitigating Artifacts in Real-World Video Super-Resolution Models

The recurrent structure is a prevalent framework for the task of video s...

0 Liangbin Xie, et al. ∙

research

∙ 12/10/2022

MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base

The ability to understand and generate similes is an imperative step to ...

0 Qianyu He, et al. ∙

research

∙ 12/06/2022

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis

Vector-Quantized (VQ-based) generative models usually consist of two bas...

6 Yuchao Gu, et al. ∙

research

∙ 07/29/2022

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond

We show that pre-trained Generative Adversarial Networks (GANs) such as ...

14 Kelvin C. K. Chan, et al. ∙

research

∙ 07/20/2022

FaceFormer: Scale-aware Blind Face Restoration with Transformers

Blind face restoration usually encounters with diverse scale face inputs...

0 Aijin Li, et al. ∙

research

∙ 07/18/2022

Rethinking Alignment in Video Super-Resolution Transformers

The alignment of adjacent frames is considered an essential operation in...

9 Shuwei Shi, et al. ∙

research

∙ 06/25/2022

Language Models as Knowledge Embeddings

Knowledge embeddings (KE) represent a knowledge graph (KG) by embedding ...

0 Xintao Wang, et al. ∙

research

∙ 06/14/2022

AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos

This paper studies the problem of real-world video super-resolution (VSR...

0 Yanze Wu, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

0 Eduardo Pérez-Pellitero, et al. ∙

research

∙ 05/13/2022

VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

Although generative facial prior and geometric prior have recently demon...

0 Yuchao Gu, et al. ∙

research

∙ 05/11/2022

RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization

This paper explores training efficient VGG-style super-resolution (SR) n...

0 Xintao Wang, et al. ∙

research

∙ 05/10/2022

Accelerating the Training of Video Super-Resolution Models

Despite that convolution neural networks (CNN) have recently demonstrate...

0 Lijian Lin, et al. ∙

research

∙ 05/10/2022

Metric Learning based Interactive Modulation for Real-World Super-Resolution

Interactive image restoration aims to restore images by adjusting severa...

0 Chong Mou, et al. ∙

research

∙ 05/09/2022

Activating More Pixels in Image Super-Resolution Transformer

Transformer-based methods have shown impressive performance in low-level...

1 Xiangyu Chen, et al. ∙

research

∙ 10/09/2021

Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning

Video colorization is a challenging and highly ill-posed problem. Althou...

0 Yihao Liu, et al. ∙

research

∙ 08/19/2021

Towards Vivid and Diverse Image Colorization with Generative Color Prior

Colorization has attracted increasing interest in recent years. Classic ...

14 Yanze Wu, et al. ∙

research

∙ 08/02/2021

Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution

Recent blind super-resolution (SR) methods typically consist of two bran...

0 Liangbin Xie, et al. ∙

research

∙ 07/22/2021

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Though many attempts have been made in blind super-resolution to restore...

5 Xintao Wang, et al. ∙

research

∙ 06/03/2021

Robust Reference-based Super-Resolution via C2-Matching

Reference-based Super-Resolution (Ref-SR) has recently emerged as a prom...

15 Yuming Jiang, et al. ∙

research

∙ 01/11/2021

Towards Real-World Blind Face Restoration with Generative Facial Prior

Blind face restoration usually relies on facial priors, such as facial g...

10 Xintao Wang, et al. ∙

research

∙ 12/09/2020

Positional Encoding as Spatial Inductive Bias in GANs

SinGAN shows impressive capability in learning internal patch distributi...

0 Rui Xu, et al. ∙

research

∙ 12/01/2020

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

We show that pre-trained Generative Adversarial Networks (GANs), e.g., S...

0 Kelvin C. K. Chan, et al. ∙

research

∙ 05/07/2019

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Video restoration tasks, including super-resolution, deblurring, etc, ar...

12 Xintao Wang, et al. ∙

research

∙ 04/23/2019

Path-Restore: Learning Network Path Selection for Image Restoration

Very deep Convolutional Neural Networks (CNNs) have greatly improved the...

10 Xintao Wang, et al. ∙

research

∙ 11/26/2018

Deep Network Interpolation for Continuous Imagery Effect Transition

Deep convolutional neural network has demonstrated its capability of lea...

29 Xintao Wang, et al. ∙

research

∙ 09/01/2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...

0 Xintao Wang, et al. ∙

research

∙ 04/09/2018

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

Despite that convolutional neural networks (CNN) have recently demonstra...

0 Xintao Wang, et al. ∙

Xintao Wang

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