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  We evaluate multiple methods on VP-Bench using three state-of-the-art VLM evaluators (Gemini3, GPT-5.2, Qwen3.5) and human judges. The metric is success ratio (higher is better). Total denotes the average success rate across all eight task categories.
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  Abbreviations: C2I: class-to-image · T2I: text-to-image · TIE: text-in-image edit · FU: force understanding · TBE: text & bbox edit · TU: trajectory understanding · VME: visual marker edit · DE: doodles edit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  We evaluate multiple methods on VP-Bench using three state-of-the-art VLM evaluators (Gemini3, GPT-5.2, Qwen3.5) and human judges. The metric is success ratio (higher is better). Total denotes the average success rate across all eight task categories.
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  Abbreviations: C2I: class-to-image · T2I: text-to-image · TIE: text-in-image edit · FU: force understanding · TBE: text & bbox edit · TU: trajectory understanding · VME: visual marker edit · DE: doodles edit
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+ ---
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+ ### Evaluator: Gemini3
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+ | Method | C2I | T2I | TIE | FU | TBE | TU | VME | DE | **Total** |
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+ |--------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---------:|
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+ | Nano Banana (Google, 2025) | .650 | .980 | .423 | .520 | .614 | .020 | .548 | .721 | .560 |
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+ | Omnigen2 (Wu et al., 2025) | .020 | .020 | .017 | .020 | .000 | .000 | .000 | .000 | .007 |
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+ | Kontext (Labs et al., 2025) | .050 | .020 | .048 | .007 | .000 | .020 | .010 | .000 | .019 |
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+ | Qwen-IE-2509 (Wu et al., 2025) | .230 | .040 | .069 | .000 | .000 | .020 | .023 | .000 | .048 |
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+ | **FlowInOne (Ours)** | **.890** | **.700** | **.355** | **.727** | **.302** | **.520** | **.292** | **.535** | **.540** |
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+ ### Evaluator: GPT-5.2
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+
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+ | Method | C2I | T2I | TIE | FU | TBE | TU | VME | DE | **Total** |
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+ |--------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---------:|
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+ | Nano Banana (Google, 2025) | .680 | .959 | .152 | .127 | .040 | .136 | .302 | .020 | .302 |
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+ | Omnigen2 (Wu et al., 2025) | .110 | .020 | .000 | .000 | .000 | .000 | .000 | .023 | .019 |
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+ | Kontext (Labs et al., 2025) | .090 | .020 | .028 | .020 | .000 | .080 | .003 | .093 | .042 |
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+ | Qwen-IE-2509 (Wu et al., 2025) | .240 | .120 | .080 | .020 | .022 | .060 | .020 | .047 | .076 |
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+ | **FlowInOne (Ours)** | **.850** | **.800** | .079 | **.500** | **.116** | **.240** | .083 | **.465** | **.392** |
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+ ### Evaluator: Qwen3.5
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+ | Method | C2I | T2I | TIE | FU | TBE | TU | VME | DE | **Total** |
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+ |--------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---------:|
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+ | Nano Banana (Google, 2025) | .600 | .959 | .386 | .367 | .257 | .040 | .321 | .744 | .469 |
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+ | Omnigen2 (Wu et al., 2025) | .030 | .020 | .017 | .034 | .000 | .000 | .003 | .047 | .019 |
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+ | Kontext (Labs et al., 2025) | .050 | .020 | .042 | .133 | .000 | .060 | .047 | .093 | .056 |
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+ | Qwen-IE-2509 (Wu et al., 2025) | .270 | .060 | .080 | .087 | .047 | .040 | .033 | .047 | .083 |
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+ | **FlowInOne (Ours)** | **.859** | **.720** | **.354** | **.713** | **.272** | **.320** | **.306** | **.481** | **.503** |
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+ ### Evaluator: Human
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+ | Method | C2I | T2I | TIE | FU | TBE | TU | VME | DE | **Total** |
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+ |--------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---------:|
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+ | Nano Banana (Google, 2025) | .602 | .904 | .271 | .250 | .200 | .050 | .229 | .742 | .406 |
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+ | Omnigen2 (Wu et al., 2025) | .000 | .000 | .000 | .000 | .000 | .000 | .000 | .000 | .000 |
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+ | Kontext (Labs et al., 2025) | .000 | .000 | .043 | .000 | .000 | .000 | .000 | .100 | .018 |
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+ | Qwen-IE-2509 (Wu et al., 2025) | .067 | .000 | .029 | .000 | .000 | .000 | .000 | .000 | .012 |
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+ | **FlowInOne (Ours)** | **.800** | **.645** | **.242** | **.705** | **.255** | **.280** | **.255** | **.400** | **.449** |