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Controllable generation with text-to-image diffusion models: A survey
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …
landscape, marking a significant shift in capabilities with their impressive text-guided …
Concept-centric personalization with large-scale diffusion priors
Despite large-scale diffusion models being highly capable of generating diverse open-world
content, they still struggle to match the photorealism and fidelity of concept-specific …
content, they still struggle to match the photorealism and fidelity of concept-specific …
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion
Recently, inversion methods have been exploring the incorporation of additional high-rate
information from pretrained generators (such as weights or intermediate features) to improve …
information from pretrained generators (such as weights or intermediate features) to improve …
Lifting by image–leveraging image cues for accurate 3d human pose estimation
The" lifting from 2D pose" method has been the dominant approach to 3D Human Pose
Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose estimators. Widely …
Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose estimators. Widely …
E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Diffusion-based image editing is a composite process of preserving the source image
content and generating new content or applying modifications. While current editing …
content and generating new content or applying modifications. While current editing …
One Shot Face Image Style Transfer Method Based on GAN
W He - 2023 International Conference on Image Processing …, 2023 - ieeexplore.ieee.org
Style transformation on face images has traditionally been a popular research area in the
field of computer vision, and its applications are quite extensive. Currently, the more …
field of computer vision, and its applications are quite extensive. Currently, the more …