T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Despite the stunning ability to generate high-quality images by recent text-to-image models,
current approaches often struggle to effectively compose objects with different attributes and …
current approaches often struggle to effectively compose objects with different attributes and …
Layoutgpt: Compositional visual planning and generation with large language models
Attaining a high degree of user controllability in visual generation often requires intricate,
fine-grained inputs like layouts. However, such inputs impose a substantial burden on users …
fine-grained inputs like layouts. However, such inputs impose a substantial burden on users …
Sparsectrl: Adding sparse controls to text-to-video diffusion models
The development of text-to-video (T2V), ie, generating videos with a given text prompt, has
been significantly advanced in recent years. However, relying solely on text prompts often …
been significantly advanced in recent years. However, relying solely on text prompts often …
Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning
Recent progress in personalized image generation using diffusion models has been
significant. However, development in the area of open-domain and test-time fine-tuning-free …
significant. However, development in the area of open-domain and test-time fine-tuning-free …
Grounded text-to-image synthesis with attention refocusing
Driven by the scalable diffusion models trained on large-scale datasets text-to-image
synthesis methods have shown compelling results. However these models still fail to …
synthesis methods have shown compelling results. However these models still fail to …
Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment
Text-conditioned image generation models often generate incorrect associations between
entities and their visual attributes. This reflects an impaired mapping between linguistic …
entities and their visual attributes. This reflects an impaired mapping between linguistic …
Compositional text-to-image synthesis with attention map control of diffusion models
Recent text-to-image (T2I) diffusion models show outstanding performance in generating
high-quality images conditioned on textual prompts. However, they fail to semantically align …
high-quality images conditioned on textual prompts. However, they fail to semantically align …
Boosting consistency in story visualization with rich-contextual conditional diffusion models
Recent research showcases the considerable potential of conditional diffusion models for
generating consistent stories. However, current methods, which predominantly generate …
generating consistent stories. However, current methods, which predominantly generate …
T2v-compbench: A comprehensive benchmark for compositional text-to-video generation
Text-to-video (T2V) generation models have advanced significantly, yet their ability to
compose different objects, attributes, actions, and motions into a video remains unexplored …
compose different objects, attributes, actions, and motions into a video remains unexplored …
Conform: Contrast is all you need for high-fidelity text-to-image diffusion models
Images produced by text-to-image diffusion models might not always faithfully represent the
semantic intent of the provided text prompt where the model might overlook or entirely fail to …
semantic intent of the provided text prompt where the model might overlook or entirely fail to …