Cover Image

DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bounareli, Stella, Tzelepis, Christos, Argyriou, Vasileios, Patras, Ioannis, Tzimiropoulos, Georgios
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space
by: Bounareli, Stella, et al.
Published: (2024)

MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
by: Meng, Debin, et al.
Published: (2024)

LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
by: Sun, Zhonglin, et al.
Published: (2024)

CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
by: Sun, Zhonglin, et al.
Published: (2024)

CycleCap: Improving VLMs Captioning Performance via Self-Supervised Cycle Consistency Fine-Tuning
by: Krestenitis, Marios, et al.
Published: (2026)

FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusion
by: Singh, Abhishek Kumar, et al.
Published: (2024)

CLIPCleaner: Cleaning Noisy Labels with CLIP
by: Feng, Chen, et al.
Published: (2024)

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
by: Metaxas, Ioannis Maniadis, et al.
Published: (2024)

VidCtx: Context-aware Video Question Answering with Image Models
by: Goulas, Andreas, et al.
Published: (2024)

P-TAME: Explain Any Image Classifier with Trained Perturbations
by: Ntrougkas, Mariano V., et al.
Published: (2025)

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
by: Feng, Chen, et al.
Published: (2021)

Are CLIP features all you need for Universal Synthetic Image Origin Attribution?
by: Cioni, Dario, et al.
Published: (2024)

PRE: Vision-Language Prompt Learning with Reparameterization Encoder
by: Pham, Thi Minh Anh, et al.
Published: (2023)

Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models
by: Spyridis, Yannis, et al.
Published: (2025)

Anchored Diffusion for Video Face Reenactment
by: Kligvasser, Idan, et al.
Published: (2024)

Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection
by: Lappas, Demetris, et al.
Published: (2024)

FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models
by: Bulat, Adrian, et al.
Published: (2024)

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities
by: Mobbs, Rebecca, et al.
Published: (2025)

Aligned Unsupervised Pretraining of Object Detectors with Self-training
by: Metaxas, Ioannis Maniadis, et al.
Published: (2023)

Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
by: Baltsou, Georgia, et al.
Published: (2025)

Multi-scale Image Super Resolution with a Single Auto-Regressive Model
by: Sanchez, Enrique, et al.
Published: (2025)

KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation
by: Bigata, Antoni, et al.
Published: (2025)

VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence
by: Tran, Phong, et al.
Published: (2024)

State of play and future directions in industrial computer vision AI standards
by: Stefanidou, Artemis, et al.
Published: (2025)

Fwd2Bot: LVLM Visual Token Compression with Double Forward Bottleneck
by: Bulat, Adrian, et al.
Published: (2025)

VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
by: Bulat, Adrian, et al.
Published: (2026)

VladVA: Discriminative Fine-tuning of LVLMs
by: Ouali, Yassine, et al.
Published: (2024)

MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading
by: Alwazzan, Omnia, et al.
Published: (2024)

DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing
by: Jia, Haozhe, et al.
Published: (2023)

Latent Diffusion Model without Variational Autoencoder
by: Shi, Minglei, et al.
Published: (2025)

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
by: Surkov, Viacheslav, et al.
Published: (2024)

Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
by: Tsoumplekas, Georgios, et al.
Published: (2024)

VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
by: Xenos, Alexandros, et al.
Published: (2024)

Improving the Diffusability of Autoencoders
by: Skorokhodov, Ivan, et al.
Published: (2025)

ReWind: Understanding Long Videos with Instructed Learnable Memory
by: Diko, Anxhelo, et al.
Published: (2024)

Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
by: Khungurn, Pramook, et al.
Published: (2025)

Latent-Compressed Variational Autoencoder for Video Diffusion Models
by: Guan, Jiarui, et al.
Published: (2026)

FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
by: Sahili, Zahraa Al, et al.
Published: (2024)

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions
by: Alimisis, Panagiotis, et al.
Published: (2024)

MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
by: Lin, Yupei, et al.
Published: (2024)