Papers Consistent Character Generation
“Consistent Character Generation” 태그가 달린 논문 10편 · 필터 해제
CharaConsist: Fine-Grained Consistent Character Generation
In text-to-image generation, producing a series of consistent contents that preserve the same identity is highly valuable for real-world applications. Although a few works have explored training-free methods to enhance t…
Consistent Character GenerationImage GenerationPoint TrackingText to Image Generation+1Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
Recent advances in text-to-image diffusion models have spurred significant interest in continuous story image generation. In this paper, we introduce Storynizor, a model capable of generating coherent stories with strong…
Consistent Character GenerationImage GenerationStory GenerationCharacter-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customization
Customized image generation, which seeks to synthesize images with consistent characters, holds significant relevance for applications such as storytelling, portrait generation, and character design. However, previous ap…
Consistent Character GenerationImage GenerationAda-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
Video-to-video synthesis poses significant challenges in maintaining character consistency, smooth temporal transitions, and preserving visual quality during fast motion. While recent fully cross-frame self-attention mec…
Consistent Character GenerationOptical Flow EstimationVideo EditingVideo-to-Video SynthesisORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
Text-to-image diffusion models have recently taken center stage as pivotal tools in promoting visual creativity across an array of domains such as comic book artistry, children's literature, game development, and web des…
Consistent Character GenerationCharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Recent advances in text-to-image models have opened new frontiers in human-centric generation. However, these models cannot be directly employed to generate images with consistent newly coined identities. In this work, w…
Consistent Character GenerationWord EmbeddingsOneActor: Consistent Character Generation via Cluster-Conditioned Guidance
Text-to-image diffusion models benefit artists with high-quality image generation. Yet their stochastic nature hinders artists from creating consistent images of the same subject. Existing methods try to tackle this chal…
Consistent Character GenerationDenoisingImage GenerationCAT: Contrastive Adapter Training for Personalized Image Generation
The emergence of various adapters, including Low-Rank Adaptation (LoRA) applied from the field of natural language processing, has allowed diffusion models to personalize image generation at a low cost. However, due to t…
Consistent Character GenerationDiversityImage GenerationPersonalized Image Generation+1The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Recent advances in text-to-image generation models have unlocked vast potential for visual creativity. However, the users that use these models struggle with the generation of consistent characters, a crucial aspect for …
Consistent Character GenerationImage GenerationStory VisualizationText to Image Generation+1Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
We present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or inversions. We augment a dataset of annota…
Consistent Character GenerationImage GenerationText to Image GenerationText-to-Image Generation