UniEditBench unifies image and video editing evaluation with a nine-plus-eight operation taxonomy and cost-effective 4B/8B distilled MLLM evaluators that align with human judgments.
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InsEdit adapts a video diffusion backbone for text-instruction video editing via Mutual Context Attention, achieving SOTA open-source results with O(100K) data while also supporting image editing.
TaskLens uses LLMs to generate task-specific scaffolded interfaces that reduce perceived workload and improve performance and concept learning for novices using professional 3D software.
citing papers explorer
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UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs
UniEditBench unifies image and video editing evaluation with a nine-plus-eight operation taxonomy and cost-effective 4B/8B distilled MLLM evaluators that align with human judgments.
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InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation
InsEdit adapts a video diffusion backbone for text-instruction video editing via Mutual Context Attention, achieving SOTA open-source results with O(100K) data while also supporting image editing.
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TaskLens: Generating Task-Conditioned Scaffolded Interfaces for Learning Professional Creative Software
TaskLens uses LLMs to generate task-specific scaffolded interfaces that reduce perceived workload and improve performance and concept learning for novices using professional 3D software.