Authors: Tiffany Tseng, Ruijia Cheng, Jeffrey Nichols

Published on: February 08, 2024

Impact Score: 8.07

Arxiv code: Arxiv:2402.06071

Summary

• What is new: Keyframer introduces a novel application of LLMs to animation, combining natural language prompting with direct editing for designing animations.
• Why this is important: Animation design with LLMs is challenging due to the difficulty of describing motion effectively in natural language.
• What the research proposes: Keyframer, a tool that allows users to animate static images through natural language descriptions and direct editing of generated outputs.
• Results: Feedback from a user study with 13 participants showed that combining prompting with direct editing supports a more iterative and refined design process.

Technical Details

Technological frameworks used: nan

Models used: Large Language Models (LLMs)

Data used: SVG images and natural language prompts

Potential Impact

Animation software industry, creative design platforms, and industries relying on creative content production

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