Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions
Image data augmentation constitutes a critical methodology in modern computer vision
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
Portraitbooth: A versatile portrait model for fast identity-preserved personalization
Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
Migc: Multi-instance generation controller for text-to-image synthesis
Abstract We present a Multi-Instance Generation (MIG) task simultaneously generating
multiple instances with diverse controls in one image. Given a set of predefined coordinates …
multiple instances with diverse controls in one image. Given a set of predefined coordinates …
Arc2face: A foundation model for id-consistent human faces
Abstract This paper presents Arc2Face, an identity-conditioned face foundation model,
which, given the ArcFace embedding of a person, can generate diverse photo-realistic …
which, given the ArcFace embedding of a person, can generate diverse photo-realistic …
Diffusionavatars: Deferred diffusion for high-fidelity 3d head avatars
DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person offering intuitive
control over both pose and expression. We propose a diffusion-based neural renderer that …
control over both pose and expression. We propose a diffusion-based neural renderer that …
Dilightnet: Fine-grained lighting control for diffusion-based image generation
This paper presents a novel method for exerting fine-grained lighting control during text-
driven diffusion-based image generation. While existing diffusion models already have the …
driven diffusion-based image generation. While existing diffusion models already have the …
Aigc for various data modalities: A survey
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
Migc++: Advanced multi-instance generation controller for image synthesis
We introduce the Multi-Instance Generation (MIG) task, which focuses on generating
multiple instances within a single image, each accurately placed at predefined positions with …
multiple instances within a single image, each accurately placed at predefined positions with …
Caphuman: Capture your moments in parallel universes
We concentrate on a novel human-centric image synthesis task that is given only one
reference facial photograph it is expected to generate specific individual images with diverse …
reference facial photograph it is expected to generate specific individual images with diverse …