Instruction-based Image Editing with Planning, Reasoning, and Generation | ScienceToStartup | ScienceToStartup

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References (39)

[1]

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

2025Adam Suma, Samuel Dauncey

[2]

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

2024Yuying Ge, Sijie Zhao et al.

[3]

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Founder's Pitch

"Develop a multi-modality model for instruction-based image editing that combines planning, reasoning, and generation to enhance editing quality."

Instruction-based Image Editing•Score: 6•View PDF ↗

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0-10 scale

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1/4 signals

2.5

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4/4 signals

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1/4 signals

2.5

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Instruction-based Image Editing with Planning, Reasoning, and Generation

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References (39)

Founder's Pitch

"Develop a multi-modality model for instruction-based image editing that combines planning, reasoning, and generation to enhance editing quality."

Commercial Viability Breakdown

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Instruction-based Image Editing with Planning, Reasoning, and Generation

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References (39)

Founder's Pitch

"Develop a multi-modality model for instruction-based image editing that combines planning, reasoning, and generation to enhance editing quality."

Commercial Viability Breakdown

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