Search Results for author:
Found 11 papers, 8 papers with code
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text
Creating and animating 3D biped cartoon characters is crucial and valuable in various applications.
PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
Recent advancements in personalized text-to-image (T2I) models have revolutionized content creation, empowering non-experts to generate stunning images with unique styles.
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
This enables PowerPaint to accomplish various inpainting tasks by utilizing different task prompts, resulting in state-of-the-art performance.
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
The extractor estimates the degradations in LR inputs and guides the meta-restoration modules to predict restoration parameters for different degradations on-the-fly.
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
To enable VL pre-training, we jointly optimize the HD-VILA model by a hybrid Transformer that learns rich spatiotemporal features, and a multimodal Transformer that enforces interactions of the learned video features with diversified texts.
Ranked #16 on
Video Retrieval
on MSR-VTT
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Given a sequence of style tokens, the TokenGAN is able to control the image synthesis by assigning the styles to the content tokens by attention mechanism with a Transformer.
3D Human Body Reshaping with Anthropometric Modeling
First, we calculate full-body anthropometric parameters from limited user inputs by imputation technique, and thus essential anthropometric parameters for 3D body reshaping can be obtained.
Aggregated Contextual Transformations for High-Resolution Image Inpainting
For improving texture synthesis, we enhance the discriminator of AOT-GAN by training it with a tailored mask-prediction task.
Ranked #9 on
Image Inpainting
on Places2
Learning Semantic-aware Normalization for Generative Adversarial Networks
Such a model disentangles latent factors according to the semantic of feature channels by channel-/group- wise fusion of latent codes and feature channels.
Learning Joint Spatial-Temporal Transformations for Video Inpainting
In this paper, we propose to learn a joint Spatial-Temporal Transformer Network (STTN) for video inpainting.
Ranked #5 on
Seeing Beyond the Visible
on KITTI360-EX
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
As the missing content can be filled by attention transfer from deep to shallow in a pyramid fashion, both visual and semantic coherence for image inpainting can be ensured.
