A generative reconstruction algorithm turns video into editable text prompts, enabling text-driven reauthoring as shown in a creator study that identified use cases such as virtual reshooting and tensions around coherence and creative alignment.
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Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
An MLLM agent reformulates image editing tasks into executable operation sequences to improve reliability on challenging cases across existing generative backbones.
TopoStyle provides an interactive system using 2D diffusion models for 2.5D topology optimization that supports hand-drawn and point-based edits plus masking to enable iterative customization balancing performance and aesthetics.
citing papers explorer
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Rewriting Video: Text-Driven Reauthoring of Video Footage
A generative reconstruction algorithm turns video into editable text prompts, enabling text-driven reauthoring as shown in a creator study that identified use cases such as virtual reshooting and tensions around coherence and creative alignment.
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When Should Teachers Control AI Generation for Mathematics Visuals?
Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
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Making Image Editing Easier via Adaptive Task Reformulation with Agentic Executions
An MLLM agent reformulates image editing tasks into executable operation sequences to improve reliability on challenging cases across existing generative backbones.
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TopoStyle: Supporting Iterative Design with Generative AI for 2.5D Topology Optimization
TopoStyle provides an interactive system using 2D diffusion models for 2.5D topology optimization that supports hand-drawn and point-based edits plus masking to enable iterative customization balancing performance and aesthetics.