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Found 12 papers, 2 papers with code
InstructBrush: Learning Attention-based Instruction Optimization for Image Editing
Two key techniques are introduced into InstructBrush, Attention-based Instruction Optimization and Transformation-oriented Instruction Initialization, to address the limitations of the previous method in terms of inversion effects and instruction generalization.
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors
Our purpose is to establish a unified visual perception framework, capitalizing on the potential synergies between generative and discriminative models.
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization
We propose CatVersion, an inversion-based method that learns the personalized concept through a handful of examples.
HFORD: High-Fidelity and Occlusion-Robust De-identification for Face Privacy Protection
To disentangle the latent codes in the GAN inversion space, we introduce an Identity Disentanglement Module (IDM).
Diff-Privacy: Diffusion-based Face Privacy Protection
In this paper, we unify the task of anonymization and visual identity information hiding and propose a novel face privacy protection method based on diffusion models, dubbed Diff-Privacy.
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to the cross-domain nature of sketches and photos, as well as the semantic gap between seen and unseen image distributions.
Few-shot Face Image Translation via GAN Prior Distillation
GPD contains two models: a teacher network with GAN Prior and a student network that fulfills end-to-end translation.
Few-shot Font Generation by Learning Style Difference and Similarity
To address this issue, we propose a novel font generation approach by learning the Difference between different styles and the Similarity of the same style (DS-Font).
All-to-key Attention for Arbitrary Style Transfer
In this paper, we propose a novel all-to-key attention mechanism -- each position of content features is matched to stable key positions of style features -- that is more in line with the characteristics of style transfer.
VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
Our system disentangles this objective into three sequential tasks: (1) face video generation with a canonical expression; (2) audio-driven lip-sync; and (3) face enhancement for improving photo-realism.
Semi-parametric Makeup Transfer via Semantic-aware Correspondence
The large discrepancy between the source non-makeup image and the reference makeup image is one of the key challenges in makeup transfer.
Dual Based DSP Bidding Strategy and its Application
In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method.
