Papers single-image-generation
“single-image-generation” 태그가 달린 논문 12편 · 필터 해제
Tiled Diffusion
Image tiling -- the seamless connection of disparate images to create a coherent visual field -- is crucial for applications such as texture creation, video game asset development, and digital art. Traditionally, tiles h…
Image Generationsingle-image-generationConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance
Diffusion models have shown impressive potential on talking head generation. While plausible appearance and talking effect are achieved, these methods still suffer from temporal, 3D or expression inconsistency due to the…
Image Generationsingle-image-generationTalking Head GenerationLatent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
Multi-View Diffusion Models (MVDMs) enable remarkable improvements in the field of 3D geometric reconstruction, but the issue regarding intellectual property has received increasing attention due to unauthorized imitatio…
3D geometryImage Generationsingle-image-generationConcept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Motivated by ethical and legal concerns, the scientific community is actively developing methods to limit the misuse of Text-to-Image diffusion models for reproducing copyrighted, violent, explicit, or personal informati…
ARCImage Generationsingle-image-generationAutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
Diffusion models are emerging expressive generative models, in which a large number of time steps (inference steps) are required for a single image generation. To accelerate such tedious process, reducing steps uniformly…
Image Generationsingle-image-generationTowards Smooth Video Composition
Video generation requires synthesizing consistent and persistent frames with dynamic content over time. This work investigates modeling the temporal relations for composing video with arbitrary length, from a few frames …
Image Generationsingle-image-generationVideo GenerationVideo UnderstandingSinDDM: A Single Image Denoising Diffusion Model
Denoising diffusion models (DDMs) have led to staggering performance leaps in image generation, editing and restoration. However, existing DDMs use very large datasets for training. Here, we introduce a framework for tra…
DenoisingImage DenoisingImage Generationmodel+4A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation
Image generation is the task of producing new samples from one or several example images. Until recently, this has been done using large image databases, in particular using Generative Adversarial Networks (GANs). Howeve…
DiversityImage Generationsingle-image-generationPetsGAN: Rethinking Priors for Single Image Generation
Single image generation (SIG), described as generating diverse samples that have similar visual content with the given single image, is first introduced by SinGAN which builds a pyramid of GANs to progressively learn the…
Image GenerationImage Manipulationsingle-image-generationStyle TransferMeta Internal Learning
Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image. Since these models are trained on a single image, they are limited in their scal…
Image GenerationMeta-Learningsingle-image-generationDiverse Single Image Generation with Controllable Global Structure
Image generation from a single image using generative adversarial networks is quite interesting due to the realism of generated images. However, recent approaches need improvement for such realistic and diverse image gen…
DiversityImage Generationsingle-image-generationImproved Techniques for Training Single-Image GANs
Recently there has been an interest in the potential of learning generative models from a single image, as opposed to from a large dataset. This task is of practical significance, as it means that generative models can b…
Image Generationsingle-image-generation