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MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Paper • 2604.23789 • Published • 6 -
OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
Paper • 2605.18758 • Published • 16 -
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Paper • 2605.31039 • Published • 46 -
lightcone02/OmniContact-Dataset
Preview • Updated • 776 • 9
amjad
heroali
·
AI & ML interests
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Recent Activity
updated a collection 14 days ago
benchmarks updated a collection 14 days ago
benchmarksOrganizations
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benchmarks
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ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
Paper • 2604.24300 • Published • 69 -
Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis
Paper • 2604.24198 • Published • 23 -
KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
Paper • 2605.04956 • Published • 7 -
Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
Paper • 2605.13062 • Published • 33
Dataset
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MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Paper • 2604.23789 • Published • 6 -
OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
Paper • 2605.18758 • Published • 16 -
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Paper • 2605.31039 • Published • 46 -
lightcone02/OmniContact-Dataset
Preview • Updated • 776 • 9
benchmarks
-
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
Paper • 2604.24300 • Published • 69 -
Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis
Paper • 2604.24198 • Published • 23 -
KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
Paper • 2605.04956 • Published • 7 -
Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling
Paper • 2605.13062 • Published • 33
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