RISEBench_Leaderboard / data /leaderboard.json
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{
"schema_version": 3,
"title": "RISE Leaderboard",
"benchmarks": [
{
"id": "risebench-plusplus",
"name": "RISEBench++",
"case_count": 1000,
"available_result_languages": [
"en",
"zh"
],
"accuracy_unit": "%",
"metric_unit": "/100",
"score_decimals": 1,
"default_sort": "total",
"dimensions": [
{
"key": "temporal",
"label": "Temporal",
"description": "Infer how a scene changes over time."
},
{
"key": "causal",
"label": "Causal",
"description": "Reason about causes, actions, and their consequences."
},
{
"key": "spatial",
"label": "Spatial",
"description": "Reason about spatial relationships and transformations."
},
{
"key": "logical",
"label": "Logical",
"description": "Apply explicit rules, patterns, and logical constraints."
},
{
"key": "counterfactual",
"label": "Counterfactual",
"description": "Visualize outcomes under hypothetical or contrary-to-fact conditions."
},
{
"key": "hybrid",
"label": "Hybrid",
"description": "Combine reasoning across three to five successive editing instructions."
}
],
"metrics": [
{
"key": "instruction_reasoning",
"label": "Instruction Reasoning",
"description": "Whether the edit realizes the intended reasoning outcome."
},
{
"key": "appearance_consistency",
"label": "Appearance Consistency",
"description": "Whether content that should remain unchanged is preserved."
},
{
"key": "visual_plausibility",
"label": "Visual Plausibility",
"description": "Visual quality and plausibility; logical tasks are excluded."
}
],
"accuracy_columns": [
{
"key": "temporal",
"label": "Temporal",
"description": "Infer how a scene changes over time."
},
{
"key": "causal",
"label": "Causal",
"description": "Reason about causes, actions, and their consequences."
},
{
"key": "spatial",
"label": "Spatial",
"description": "Reason about spatial relationships and transformations."
},
{
"key": "logical",
"label": "Logical",
"description": "Apply explicit rules, patterns, and logical constraints."
},
{
"key": "counterfactual",
"label": "Counterfactual",
"description": "Visualize outcomes under hypothetical or contrary-to-fact conditions."
},
{
"key": "hybrid",
"label": "Hybrid",
"description": "Combine reasoning across three to five successive editing instructions."
},
{
"key": "single",
"label": "Single",
"description": "Accuracy on single-image cases."
},
{
"key": "multi",
"label": "Multi",
"description": "Accuracy on multi-image cases. Not evaluated for models without multi-image support."
},
{
"key": "total",
"label": "Total",
"description": "Accuracy on the complete benchmark. Not evaluated for single-image-only models."
}
],
"subcategory_columns": [
{
"key": "temporal_common_sense_knowledge",
"label": "Common-Sense Knowledge",
"dimension": "temporal",
"case_count": 85,
"multi_image_case_count": 0,
"code": "CSK",
"description": "Temporal · Common-Sense Knowledge — accuracy (%)"
},
{
"key": "temporal_context_knowledge",
"label": "Context Knowledge",
"dimension": "temporal",
"case_count": 52,
"multi_image_case_count": 28,
"code": "CtxK",
"description": "Temporal · Context Knowledge — accuracy (%)"
},
{
"key": "temporal_disciplinary_knowledge",
"label": "Disciplinary Knowledge",
"dimension": "temporal",
"case_count": 63,
"multi_image_case_count": 4,
"code": "DK",
"description": "Temporal · Disciplinary Knowledge — accuracy (%)"
},
{
"key": "causal_common_sense_knowledge",
"label": "Common-Sense Knowledge",
"dimension": "causal",
"case_count": 80,
"multi_image_case_count": 1,
"code": "CSK",
"description": "Causal · Common-Sense Knowledge — accuracy (%)"
},
{
"key": "causal_context_knowledge",
"label": "Context Knowledge",
"dimension": "causal",
"case_count": 40,
"multi_image_case_count": 2,
"code": "CtxK",
"description": "Causal · Context Knowledge — accuracy (%)"
},
{
"key": "causal_disciplinary_knowledge",
"label": "Disciplinary Knowledge",
"dimension": "causal",
"case_count": 80,
"multi_image_case_count": 5,
"code": "DK",
"description": "Causal · Disciplinary Knowledge — accuracy (%)"
},
{
"key": "spatial_relation",
"label": "Relation",
"dimension": "spatial",
"case_count": 106,
"multi_image_case_count": 6,
"code": "Rel.",
"description": "Spatial · Relation — accuracy (%)"
},
{
"key": "spatial_structure",
"label": "Structure",
"dimension": "spatial",
"case_count": 94,
"multi_image_case_count": 12,
"code": "Struct.",
"description": "Spatial · Structure — accuracy (%)"
},
{
"key": "logical_explicit_rule_deduction",
"label": "Explicit Rule Deduction",
"dimension": "logical",
"case_count": 123,
"multi_image_case_count": 0,
"code": "ERD",
"description": "Logical · Explicit Rule Deduction — accuracy (%)"
},
{
"key": "logical_implicit_pattern_induction",
"label": "Implicit Pattern Induction",
"dimension": "logical",
"case_count": 77,
"multi_image_case_count": 20,
"code": "IPI",
"description": "Logical · Implicit Pattern Induction — accuracy (%)"
},
{
"key": "counterfactual_counterfactual_imagination",
"label": "Counterfactual Imagination",
"dimension": "counterfactual",
"case_count": 70,
"multi_image_case_count": 0,
"code": "CFI",
"description": "Counterfactual · Counterfactual Imagination — accuracy (%)"
},
{
"key": "counterfactual_anomaly_correction_and_generation",
"label": "Anomaly Correction and Generation",
"dimension": "counterfactual",
"case_count": 30,
"multi_image_case_count": 0,
"code": "ACG",
"description": "Counterfactual · Anomaly Correction and Generation — accuracy (%)"
}
],
"task_type_columns": [
{
"key": "T01",
"code": "T01",
"label": "Life Progression",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 24,
"multi_image_case_count": 0,
"description": "Temporal · Life Progression — accuracy (%)"
},
{
"key": "T02",
"code": "T02",
"label": "Material Transformation",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 9,
"multi_image_case_count": 0,
"description": "Temporal · Material Transformation — accuracy (%)"
},
{
"key": "T03",
"code": "T03",
"label": "Natural Environmental Changes",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 13,
"multi_image_case_count": 0,
"description": "Temporal · Natural Environmental Changes — accuracy (%)"
},
{
"key": "T04",
"code": "T04",
"label": "Physical Aging",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 20,
"multi_image_case_count": 0,
"description": "Temporal · Physical Aging — accuracy (%)"
},
{
"key": "T05",
"code": "T05",
"label": "Social Activities",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 8,
"multi_image_case_count": 0,
"description": "Temporal · Social Activities — accuracy (%)"
},
{
"key": "T06",
"code": "T06",
"label": "Tool Evolution",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 7,
"multi_image_case_count": 0,
"description": "Temporal · Tool Evolution — accuracy (%)"
},
{
"key": "T07",
"code": "T07",
"label": "Urban Evolution",
"dimension": "temporal",
"subcategory": "temporal_common_sense_knowledge",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Temporal · Urban Evolution — accuracy (%)"
},
{
"key": "T08",
"code": "T08",
"label": "Temporal State Transition",
"dimension": "temporal",
"subcategory": "temporal_context_knowledge",
"case_count": 15,
"multi_image_case_count": 4,
"description": "Temporal · Temporal State Transition — accuracy (%)"
},
{
"key": "T09",
"code": "T09",
"label": "Precise Temporal Localization",
"dimension": "temporal",
"subcategory": "temporal_context_knowledge",
"case_count": 14,
"multi_image_case_count": 2,
"description": "Temporal · Precise Temporal Localization — accuracy (%)"
},
{
"key": "T10",
"code": "T10",
"label": "Position Change",
"dimension": "temporal",
"subcategory": "temporal_context_knowledge",
"case_count": 15,
"multi_image_case_count": 14,
"description": "Temporal · Position Change — accuracy (%)"
},
{
"key": "T11",
"code": "T11",
"label": "Action Sequence",
"dimension": "temporal",
"subcategory": "temporal_context_knowledge",
"case_count": 8,
"multi_image_case_count": 8,
"description": "Temporal · Action Sequence — accuracy (%)"
},
{
"key": "T12",
"code": "T12",
"label": "Physics",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Temporal · Physics — accuracy (%)"
},
{
"key": "T13",
"code": "T13",
"label": "Chemistry",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 8,
"multi_image_case_count": 4,
"description": "Temporal · Chemistry — accuracy (%)"
},
{
"key": "T14",
"code": "T14",
"label": "Biology",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 9,
"multi_image_case_count": 0,
"description": "Temporal · Biology — accuracy (%)"
},
{
"key": "T15",
"code": "T15",
"label": "Astronomy",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 12,
"multi_image_case_count": 0,
"description": "Temporal · Astronomy — accuracy (%)"
},
{
"key": "T16",
"code": "T16",
"label": "Geography",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 18,
"multi_image_case_count": 0,
"description": "Temporal · Geography — accuracy (%)"
},
{
"key": "T17",
"code": "T17",
"label": "History",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 5,
"multi_image_case_count": 0,
"description": "Temporal · History — accuracy (%)"
},
{
"key": "T18",
"code": "T18",
"label": "Medicine",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Temporal · Medicine — accuracy (%)"
},
{
"key": "T19",
"code": "T19",
"label": "Computer Science",
"dimension": "temporal",
"subcategory": "temporal_disciplinary_knowledge",
"case_count": 3,
"multi_image_case_count": 0,
"description": "Temporal · Computer Science — accuracy (%)"
},
{
"key": "C01",
"code": "C01",
"label": "Physical State Transition",
"dimension": "causal",
"subcategory": "causal_common_sense_knowledge",
"case_count": 31,
"multi_image_case_count": 0,
"description": "Causal · Physical State Transition — accuracy (%)"
},
{
"key": "C02",
"code": "C02",
"label": "Structural Damage",
"dimension": "causal",
"subcategory": "causal_common_sense_knowledge",
"case_count": 27,
"multi_image_case_count": 0,
"description": "Causal · Structural Damage — accuracy (%)"
},
{
"key": "C03",
"code": "C03",
"label": "Flexible Deformation",
"dimension": "causal",
"subcategory": "causal_common_sense_knowledge",
"case_count": 22,
"multi_image_case_count": 1,
"description": "Causal · Flexible Deformation — accuracy (%)"
},
{
"key": "C04",
"code": "C04",
"label": "Magnitude Change",
"dimension": "causal",
"subcategory": "causal_context_knowledge",
"case_count": 10,
"multi_image_case_count": 0,
"description": "Causal · Magnitude Change — accuracy (%)"
},
{
"key": "C05",
"code": "C05",
"label": "Reading Offset",
"dimension": "causal",
"subcategory": "causal_context_knowledge",
"case_count": 10,
"multi_image_case_count": 2,
"description": "Causal · Reading Offset — accuracy (%)"
},
{
"key": "C06",
"code": "C06",
"label": "Order Relation",
"dimension": "causal",
"subcategory": "causal_context_knowledge",
"case_count": 10,
"multi_image_case_count": 0,
"description": "Causal · Order Relation — accuracy (%)"
},
{
"key": "C07",
"code": "C07",
"label": "Feature Mapping",
"dimension": "causal",
"subcategory": "causal_context_knowledge",
"case_count": 10,
"multi_image_case_count": 0,
"description": "Causal · Feature Mapping — accuracy (%)"
},
{
"key": "C08",
"code": "C08",
"label": "Physics",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 25,
"multi_image_case_count": 1,
"description": "Causal · Physics — accuracy (%)"
},
{
"key": "C09",
"code": "C09",
"label": "Chemistry",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 23,
"multi_image_case_count": 4,
"description": "Causal · Chemistry — accuracy (%)"
},
{
"key": "C10",
"code": "C10",
"label": "Biology",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 12,
"multi_image_case_count": 0,
"description": "Causal · Biology — accuracy (%)"
},
{
"key": "C11",
"code": "C11",
"label": "Astronomy",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 3,
"multi_image_case_count": 0,
"description": "Causal · Astronomy — accuracy (%)"
},
{
"key": "C12",
"code": "C12",
"label": "Medicine",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Causal · Medicine — accuracy (%)"
},
{
"key": "C13",
"code": "C13",
"label": "Music Theory",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 3,
"multi_image_case_count": 0,
"description": "Causal · Music Theory — accuracy (%)"
},
{
"key": "C14",
"code": "C14",
"label": "Computer Science",
"dimension": "causal",
"subcategory": "causal_disciplinary_knowledge",
"case_count": 10,
"multi_image_case_count": 0,
"description": "Causal · Computer Science — accuracy (%)"
},
{
"key": "S01",
"code": "S01",
"label": "Adjacency",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 11,
"multi_image_case_count": 0,
"description": "Spatial · Adjacency — accuracy (%)"
},
{
"key": "S02",
"code": "S02",
"label": "Direction",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 11,
"multi_image_case_count": 0,
"description": "Spatial · Direction — accuracy (%)"
},
{
"key": "S03",
"code": "S03",
"label": "Orientation",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 11,
"multi_image_case_count": 0,
"description": "Spatial · Orientation — accuracy (%)"
},
{
"key": "S04",
"code": "S04",
"label": "Projection",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 12,
"multi_image_case_count": 0,
"description": "Spatial · Projection — accuracy (%)"
},
{
"key": "S05",
"code": "S05",
"label": "Distance",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 13,
"multi_image_case_count": 0,
"description": "Spatial · Distance — accuracy (%)"
},
{
"key": "S06",
"code": "S06",
"label": "Size",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 15,
"multi_image_case_count": 0,
"description": "Spatial · Size — accuracy (%)"
},
{
"key": "S07",
"code": "S07",
"label": "Configuration",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 18,
"multi_image_case_count": 0,
"description": "Spatial · Configuration — accuracy (%)"
},
{
"key": "S08",
"code": "S08",
"label": "Viewing Scale",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 9,
"multi_image_case_count": 0,
"description": "Spatial · Viewing Scale — accuracy (%)"
},
{
"key": "S09",
"code": "S09",
"label": "Localization",
"dimension": "spatial",
"subcategory": "spatial_relation",
"case_count": 6,
"multi_image_case_count": 6,
"description": "Spatial · Localization — accuracy (%)"
},
{
"key": "S10",
"code": "S10",
"label": "Part-Whole Perception",
"dimension": "spatial",
"subcategory": "spatial_structure",
"case_count": 24,
"multi_image_case_count": 0,
"description": "Spatial · Part-Whole Perception — accuracy (%)"
},
{
"key": "S11",
"code": "S11",
"label": "Geometric Regularities Reasoning",
"dimension": "spatial",
"subcategory": "spatial_structure",
"case_count": 15,
"multi_image_case_count": 0,
"description": "Spatial · Geometric Regularities Reasoning — accuracy (%)"
},
{
"key": "S12",
"code": "S12",
"label": "Viewpoint Generation",
"dimension": "spatial",
"subcategory": "spatial_structure",
"case_count": 26,
"multi_image_case_count": 0,
"description": "Spatial · Viewpoint Generation — accuracy (%)"
},
{
"key": "S13",
"code": "S13",
"label": "Environmental Structure Reasoning",
"dimension": "spatial",
"subcategory": "spatial_structure",
"case_count": 19,
"multi_image_case_count": 2,
"description": "Spatial · Environmental Structure Reasoning — accuracy (%)"
},
{
"key": "S14",
"code": "S14",
"label": "Egocentric Scene Reconstruction",
"dimension": "spatial",
"subcategory": "spatial_structure",
"case_count": 10,
"multi_image_case_count": 10,
"description": "Spatial · Egocentric Scene Reconstruction — accuracy (%)"
},
{
"key": "L01",
"code": "L01",
"label": "Path Searching",
"dimension": "logical",
"subcategory": "logical_explicit_rule_deduction",
"case_count": 24,
"multi_image_case_count": 0,
"description": "Logical · Path Searching — accuracy (%)"
},
{
"key": "L02",
"code": "L02",
"label": "Mathematical Derivation",
"dimension": "logical",
"subcategory": "logical_explicit_rule_deduction",
"case_count": 27,
"multi_image_case_count": 0,
"description": "Logical · Mathematical Derivation — accuracy (%)"
},
{
"key": "L03",
"code": "L03",
"label": "Game Deduction",
"dimension": "logical",
"subcategory": "logical_explicit_rule_deduction",
"case_count": 37,
"multi_image_case_count": 0,
"description": "Logical · Game Deduction — accuracy (%)"
},
{
"key": "L04",
"code": "L04",
"label": "Puzzle Solving",
"dimension": "logical",
"subcategory": "logical_explicit_rule_deduction",
"case_count": 35,
"multi_image_case_count": 0,
"description": "Logical · Puzzle Solving — accuracy (%)"
},
{
"key": "L05",
"code": "L05",
"label": "Pattern Prediction",
"dimension": "logical",
"subcategory": "logical_implicit_pattern_induction",
"case_count": 39,
"multi_image_case_count": 0,
"description": "Logical · Pattern Prediction — accuracy (%)"
},
{
"key": "L06",
"code": "L06",
"label": "Visual Oddity Detection",
"dimension": "logical",
"subcategory": "logical_implicit_pattern_induction",
"case_count": 18,
"multi_image_case_count": 0,
"description": "Logical · Visual Oddity Detection — accuracy (%)"
},
{
"key": "L07",
"code": "L07",
"label": "Rule Transfer",
"dimension": "logical",
"subcategory": "logical_implicit_pattern_induction",
"case_count": 20,
"multi_image_case_count": 20,
"description": "Logical · Rule Transfer — accuracy (%)"
},
{
"key": "F01",
"code": "F01",
"label": "Physical Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 23,
"multi_image_case_count": 0,
"description": "Counterfactual · Physical Counterfactual — accuracy (%)"
},
{
"key": "F02",
"code": "F02",
"label": "Chemical Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 9,
"multi_image_case_count": 0,
"description": "Counterfactual · Chemical Counterfactual — accuracy (%)"
},
{
"key": "F03",
"code": "F03",
"label": "Biological Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 8,
"multi_image_case_count": 0,
"description": "Counterfactual · Biological Counterfactual — accuracy (%)"
},
{
"key": "F04",
"code": "F04",
"label": "Astronomy Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 7,
"multi_image_case_count": 0,
"description": "Counterfactual · Astronomy Counterfactual — accuracy (%)"
},
{
"key": "F05",
"code": "F05",
"label": "Geography Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 8,
"multi_image_case_count": 0,
"description": "Counterfactual · Geography Counterfactual — accuracy (%)"
},
{
"key": "F06",
"code": "F06",
"label": "History Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 7,
"multi_image_case_count": 0,
"description": "Counterfactual · History Counterfactual — accuracy (%)"
},
{
"key": "F07",
"code": "F07",
"label": "Music Theory Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Counterfactual · Music Theory Counterfactual — accuracy (%)"
},
{
"key": "F08",
"code": "F08",
"label": "Computer Science Counterfactual",
"dimension": "counterfactual",
"subcategory": "counterfactual_counterfactual_imagination",
"case_count": 4,
"multi_image_case_count": 0,
"description": "Counterfactual · Computer Science Counterfactual — accuracy (%)"
},
{
"key": "F09",
"code": "F09",
"label": "Anatomical Errors",
"dimension": "counterfactual",
"subcategory": "counterfactual_anomaly_correction_and_generation",
"case_count": 10,
"multi_image_case_count": 0,
"description": "Counterfactual · Anatomical Errors — accuracy (%)"
},
{
"key": "F10",
"code": "F10",
"label": "Structural Anomalies",
"dimension": "counterfactual",
"subcategory": "counterfactual_anomaly_correction_and_generation",
"case_count": 11,
"multi_image_case_count": 0,
"description": "Counterfactual · Structural Anomalies — accuracy (%)"
},
{
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}
}
},
{
"id": "risebench",
"name": "RISEBench",
"case_count": 360,
"available_result_languages": [
"en"
],
"accuracy_unit": "%",
"metric_unit": "/100",
"score_decimals": 1,
"default_sort": "total",
"dimensions": [
{
"key": "temporal",
"label": "Temporal",
"description": "Infer how a scene changes over time."
},
{
"key": "causal",
"label": "Causal",
"description": "Reason about causes, actions, and their consequences."
},
{
"key": "spatial",
"label": "Spatial",
"description": "Reason about spatial relationships and transformations."
},
{
"key": "logical",
"label": "Logical",
"description": "Apply explicit rules, patterns, and logical constraints."
}
],
"metrics": [
{
"key": "instruction_reasoning",
"label": "Instruction Reasoning",
"description": "Whether the edit realizes the intended reasoning outcome."
},
{
"key": "appearance_consistency",
"label": "Appearance Consistency",
"description": "Whether content that should remain unchanged is preserved."
},
{
"key": "visual_plausibility",
"label": "Visual Plausibility",
"description": "Visual quality and plausibility; logical tasks are excluded."
}
],
"accuracy_columns": [
{
"key": "temporal",
"label": "Temporal",
"description": "Infer how a scene changes over time."
},
{
"key": "causal",
"label": "Causal",
"description": "Reason about causes, actions, and their consequences."
},
{
"key": "spatial",
"label": "Spatial",
"description": "Reason about spatial relationships and transformations."
},
{
"key": "logical",
"label": "Logical",
"description": "Apply explicit rules, patterns, and logical constraints."
},
{
"key": "total",
"label": "Overall",
"description": "Accuracy on the complete RISEBench-360 benchmark."
}
],
"links": {
"paper": "https://arxiv.org/abs/2504.02826",
"data": "https://huggingface.co/datasets/PhoenixZ/RISEBench",
"outputs": "https://huggingface.co/datasets/zpy777/RISEBench_Outputs",
"github": "https://github.com/VisionXLab/RISEBench/tree/main/RISEBench"
},
"judges": {
"instruction_reasoning": "GPT-4o",
"appearance_consistency": "GPT-4o",
"visual_plausibility": "GPT-4o"
},
"results_by_language": {
"en": {
"language": "Original published results",
"language_code": "en",
"model_count": 20,
"groups": [],
"models": [
{
"id": "gpt-image-1-5",
"name": "GPT-Image-1.5",
"group": null,
"multi_image": null,
"source_order": 1,
"accuracy": {
"temporal": 57.6,
"causal": 62.2,
"spatial": 62.0,
"logical": 21.2,
"total": 51.4
},
"metrics": {
"instruction_reasoning": 69.7,
"appearance_consistency": 92.5,
"visual_plausibility": 94.9
}
},
{
"id": "gpt-image-2",
"name": "GPT-Image-2",
"group": null,
"multi_image": null,
"source_order": 2,
"accuracy": {
"temporal": 45.9,
"causal": 66.7,
"spatial": 50.0,
"logical": 34.1,
"total": 49.4
},
"metrics": {
"instruction_reasoning": 73.8,
"appearance_consistency": 89.3,
"visual_plausibility": 94.9
}
},
{
"id": "gemini-3-pro-image-preview-nano-banana-pro",
"name": "Gemini-3-pro-image-preview (Nano Banana-pro)",
"group": null,
"multi_image": null,
"source_order": 3,
"accuracy": {
"temporal": 43.5,
"causal": 63.3,
"spatial": 48.0,
"logical": 37.6,
"total": 48.3
},
"metrics": {
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"appearance_consistency": 85.5,
"visual_plausibility": 94.4
}
},
{
"id": "gemini-2-5-flash-image-nano-banana",
"name": "Gemini-2.5-Flash-Image (Nano Banana)",
"group": null,
"multi_image": null,
"source_order": 4,
"accuracy": {
"temporal": 29.4,
"causal": 48.9,
"spatial": 37.0,
"logical": 18.8,
"total": 33.9
},
"metrics": {
"instruction_reasoning": 61.2,
"appearance_consistency": 86.0,
"visual_plausibility": 91.3
}
},
{
"id": "gpt-image-1",
"name": "GPT-Image-1",
"group": null,
"multi_image": null,
"source_order": 5,
"accuracy": {
"temporal": 36.5,
"causal": 34.4,
"spatial": 37.0,
"logical": 10.6,
"total": 30.0
},
"metrics": {
"instruction_reasoning": 62.8,
"appearance_consistency": 80.2,
"visual_plausibility": 94.9
}
},
{
"id": "gpt-image-1-mini",
"name": "GPT-Image-1-mini",
"group": null,
"multi_image": null,
"source_order": 6,
"accuracy": {
"temporal": 25.9,
"causal": 31.1,
"spatial": 33.0,
"logical": 9.4,
"total": 25.3
},
"metrics": {
"instruction_reasoning": 54.1,
"appearance_consistency": 71.5,
"visual_plausibility": 93.7
}
},
{
"id": "qwen-image-edit-2511",
"name": "Qwen-Image-Edit-2511",
"group": null,
"multi_image": null,
"source_order": 7,
"accuracy": {
"temporal": 21.2,
"causal": 18.9,
"spatial": 31.0,
"logical": 4.7,
"total": 19.4
},
"metrics": {
"instruction_reasoning": 49.9,
"appearance_consistency": 71.0,
"visual_plausibility": 91.5
}
},
{
"id": "bagel-w-cot",
"name": "BAGEL (w/ CoT)",
"group": null,
"multi_image": null,
"source_order": 8,
"accuracy": {
"temporal": 11.8,
"causal": 27.8,
"spatial": 21.0,
"logical": 1.2,
"total": 15.8
},
"metrics": {
"instruction_reasoning": 47.6,
"appearance_consistency": 75.6,
"visual_plausibility": 81.7
}
},
{
"id": "gemini-2-0-flash-exp",
"name": "Gemini-2.0-Flash-exp",
"group": null,
"multi_image": null,
"source_order": 9,
"accuracy": {
"temporal": 9.4,
"causal": 16.7,
"spatial": 23.0,
"logical": 4.7,
"total": 13.9
},
"metrics": {
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"appearance_consistency": 68.2,
"visual_plausibility": 82.7
}
},
{
"id": "seedream-4-0",
"name": "Seedream-4.0",
"group": null,
"multi_image": null,
"source_order": 10,
"accuracy": {
"temporal": 17.6,
"causal": 13.3,
"spatial": 11.0,
"logical": 7.1,
"total": 12.2
},
"metrics": {
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"appearance_consistency": 67.4,
"visual_plausibility": 91.2
}
},
{
"id": "gemini-2-0-flash-pre",
"name": "Gemini-2.0-Flash-pre",
"group": null,
"multi_image": null,
"source_order": 11,
"accuracy": {
"temporal": 11.8,
"causal": 14.4,
"spatial": 11.0,
"logical": 2.4,
"total": 10.0
},
"metrics": {
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"appearance_consistency": 68.4,
"visual_plausibility": 84.9
}
},
{
"id": "qwen-image-edit-2509",
"name": "Qwen-Image-Edit-2509",
"group": null,
"multi_image": null,
"source_order": 12,
"accuracy": {
"temporal": 4.7,
"causal": 11.1,
"spatial": 17.0,
"logical": 2.4,
"total": 9.2
},
"metrics": {
"instruction_reasoning": 37.2,
"appearance_consistency": 66.4,
"visual_plausibility": 86.9
}
},
{
"id": "bagel",
"name": "BAGEL",
"group": null,
"multi_image": null,
"source_order": 13,
"accuracy": {
"temporal": 3.5,
"causal": 4.4,
"spatial": 14.0,
"logical": 0.0,
"total": 5.8
},
"metrics": {
"instruction_reasoning": 36.4,
"appearance_consistency": 58.7,
"visual_plausibility": 72.0
}
},
{
"id": "flux-1-kontext-dev",
"name": "FLUX.1-Kontext-Dev",
"group": null,
"multi_image": null,
"source_order": 14,
"accuracy": {
"temporal": 2.3,
"causal": 5.5,
"spatial": 13.0,
"logical": 1.2,
"total": 5.8
},
"metrics": {
"instruction_reasoning": 26.0,
"appearance_consistency": 71.6,
"visual_plausibility": 85.2
}
},
{
"id": "ovis-u1",
"name": "Ovis-U1",
"group": null,
"multi_image": null,
"source_order": 15,
"accuracy": {
"temporal": 1.1,
"causal": 3.3,
"spatial": 4.0,
"logical": 2.4,
"total": 2.8
},
"metrics": {
"instruction_reasoning": 33.9,
"appearance_consistency": 52.7,
"visual_plausibility": 72.9
}
},
{
"id": "step1x-edit",
"name": "Step1X-Edit",
"group": null,
"multi_image": null,
"source_order": 16,
"accuracy": {
"temporal": 0.0,
"causal": 2.2,
"spatial": 2.0,
"logical": 3.5,
"total": 1.9
},
"metrics": {
"instruction_reasoning": 25.1,
"appearance_consistency": 41.5,
"visual_plausibility": 73.5
}
},
{
"id": "omnigen",
"name": "OmniGen",
"group": null,
"multi_image": null,
"source_order": 17,
"accuracy": {
"temporal": 1.2,
"causal": 1.1,
"spatial": 0.0,
"logical": 1.2,
"total": 0.8
},
"metrics": {
"instruction_reasoning": 22.0,
"appearance_consistency": 32.6,
"visual_plausibility": 55.3
}
},
{
"id": "emu2",
"name": "EMU2",
"group": null,
"multi_image": null,
"source_order": 18,
"accuracy": {
"temporal": 1.2,
"causal": 1.1,
"spatial": 0.0,
"logical": 0.0,
"total": 0.5
},
"metrics": {
"instruction_reasoning": 22.6,
"appearance_consistency": 38.2,
"visual_plausibility": 78.3
}
},
{
"id": "hidream-edit",
"name": "HiDream-Edit",
"group": null,
"multi_image": null,
"source_order": 19,
"accuracy": {
"temporal": 0.0,
"causal": 0.0,
"spatial": 0.0,
"logical": 0.0,
"total": 0.0
},
"metrics": {
"instruction_reasoning": 30.3,
"appearance_consistency": 12.6,
"visual_plausibility": 74.9
}
},
{
"id": "flux-1-canny",
"name": "FLUX.1-Canny",
"group": null,
"multi_image": null,
"source_order": 20,
"accuracy": {
"temporal": 0.0,
"causal": 0.0,
"spatial": 0.0,
"logical": 0.0,
"total": 0.0
},
"metrics": {
"instruction_reasoning": 20.2,
"appearance_consistency": 13.1,
"visual_plausibility": 77.5
}
}
]
}
}
}
]
}