DreamLLM: Synergistic Multimodal Comprehension and Creation: Text-Conditional Image Synthesis | HackerNoon
Briefly

from Hackernoon1 year ago
The DREAMLLM demonstrates a noteworthy advancement in text-conditional image synthesis, achieving substantial reductions in Fréchet Inception Distance (FID) scores against the Stable Diffusion baseline on both MS-COCO and LN-COCO datasets.
Hackernoonhttps://hackernoon.com/dreamllm-synergistic-multimodal-comprehension-and-creation-text-conditional-image-synthesis
Our results indicate that DREAMLLM not only excels in generating relevant images based on text prompts but also shows enhanced consistency and quality, as evidenced by a considerable FID improvement post-stage-I alignment.
Hackernoonhttps://hackernoon.com/dreamllm-synergistic-multimodal-comprehension-and-creation-text-conditional-image-synthesis
Read at Hackernoon
#text-conditional-image-synthesis #dreamllm #multimodal-learning #generative-models #machine-learning-techniques
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