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...
share
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 ...
research
∙
07/27/2023
GET3D–: Learning GET3D from Unconstrained Image Collections
The demand for efficient 3D model generation techniques has grown expone...
research
∙
07/16/2023
Planting a SEED of Vision in Large Language Model
We present SEED, an elaborate image tokenizer that empowers Large Langua...
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...
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...
research
∙
06/29/2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
This paper introduces DreamDiffusion, a novel method for generating high...
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...
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 ...
research
∙
06/01/2023
Inserting Anybody in Diffusion Models via Celeb Basis
Exquisite demand exists for customizing the pretrained large text-to-ima...
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...
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...
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...
research
∙
02/07/2023
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer
Omnidirectional images (ODIs) have obtained lots of research interest fo...
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...
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...
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...
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...
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 ...
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...
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 ...
research
∙
07/20/2022
FaceFormer: Scale-aware Blind Face Restoration with Transformers
Blind face restoration usually encounters with diverse scale face inputs...
research
∙
07/18/2022
Rethinking Alignment in Video Super-Resolution Transformers
The alignment of adjacent frames is considered an essential operation in...
research
∙
06/25/2022
Language Models as Knowledge Embeddings
Knowledge embeddings (KE) represent a knowledge graph (KG) by embedding ...
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...
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)...
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...
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...
research
∙
05/10/2022
Accelerating the Training of Video Super-Resolution Models
Despite that convolution neural networks (CNN) have recently demonstrate...
research
∙
05/10/2022
Metric Learning based Interactive Modulation for Real-World Super-Resolution
Interactive image restoration aims to restore images by adjusting severa...
research
∙
05/09/2022
Activating More Pixels in Image Super-Resolution Transformer
Transformer-based methods have shown impressive performance in low-level...
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...
research
∙
08/19/2021
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Colorization has attracted increasing interest in recent years. Classic ...
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...
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...
research
∙
06/03/2021
Robust Reference-based Super-Resolution via C2-Matching
Reference-based Super-Resolution (Ref-SR) has recently emerged as a prom...
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...
research
∙
12/09/2020
Positional Encoding as Spatial Inductive Bias in GANs
SinGAN shows impressive capability in learning internal patch distributi...
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...
research
∙
05/07/2019
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Video restoration tasks, including super-resolution, deblurring, etc, ar...
research
∙
04/23/2019
Path-Restore: Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
research
∙
11/26/2018
Deep Network Interpolation for Continuous Imagery Effect Transition
Deep convolutional neural network has demonstrated its capability of lea...
research
∙
09/01/2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...
research
∙
04/09/2018