SOTAVerified

Zero-shot Generalization

Papers

Showing 11–20 of 572 papers

TitleStatusHype
Zero-1-to-3: Zero-shot One Image to 3D ObjectCode4
MonSter: Marry Monodepth to Stereo Unleashes PowerCode4
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversCode4
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation ModelsCode4
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense PredictionCode4
Repurposing Diffusion-Based Image Generators for Monocular Depth EstimationCode4
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single ImageCode4
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive ReinforcementCode4
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers UpCode3
Expanding Language-Image Pretrained Models for General Video RecognitionCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GR-MGAvg. sequence length4.04—Unverified
2MoDEAvg. sequence length4.01—Unverified
3RoboUniViewAvg. sequence length3.65—Unverified
43D Diffuser ActorAvg. sequence length3.27—Unverified
5GR-1Avg. sequence length3.06—Unverified