research
∙
07/27/2023
GET3D–: Learning GET3D from Unconstrained Image Collections
The demand for efficient 3D model generation techniques has grown expone...
share
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
∙
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
∙
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
∙
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
∙
05/09/2022
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
∙
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
∙
04/23/2019
Path-Restore: Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
research
∙
09/01/2018
