List your company

Text-to-Video Generation on VBench 2.0

64.16Overall ScoreWan2.1
49.038452.964256.8960.8158Jan 7, 2026Jan 22, 2026Feb 6, 2026Feb 22, 2026Mar 9, 2026Mar 24, 2026Apr 9, 2026

Evaluation results

MethodLinks
Wan2.1Denoising Steps=20, Model=Wan2.1-1.3B2026.0364.16——————————883,568.83———
TeacacheCache Type=Reuse-based, Speed Setting=slow2026.0360.73——————————753,076.3927.1986.7410.73
TC-PadéCache Type=Prediction-based, Speed Setting=fast2026.0360.38——————————512,055.2421.763.8730.01
TeacacheCache Type=Reuse-based, Speed Setting=fast2026.0358.4——————————612,583.9521.3561.4232.65
Diffusion-DRFReward Model=Qwen2.5-VL-7B2026.0155.3854.5856.9627.9880.5156.8575.8242.8640.2321.5624.69—————
TaylorSeerCache Type=Prediction-based, Hyperparameters=N = 3, O = 12026.0354.74——————————671,954.2315.0235.9656.57
TaylorSeerCache Type=Prediction-based, Hyperparameters=N = 4, O = 12026.0354.5——————————531,876.2414.9335.3258.56
Diffusion-DRF-miniReward Model=Qwen2.5-VL-3B2026.0153.7253.9357.5325.9576.7454.427042.4941.3818.2223.15—————
Pre-trainedBackbone=Wan2.1-3B-T2V2026.0152.9953.7955.5226.5980.6548.436.233737.3617.3320.68—————
VideoAlign*Reward Model=VideoAlign, Framework=Fine-tuned under the same setting2026.0152.8449.8755.8127.4178.4752.6665.2641.7637.9318.4423.15—————
Phantom2026.0451.8445.5161.4320.2388.3943.61——————————
Wan2.2-TI2V-5BModel size=5B2026.0451.5752.560.5718.586.140.19——————————
Flow-GRPOBackbone=Wan2.1-3B-T2V2026.0150.6444.7150.8525.4877.854.3769.0736.6336.2114.8919.32—————
PickScore*Reward Model=PickScore, Framework=Fine-tuned under the same setting2026.0149.6235.9755.2323.8881.8951.1366.6739.1936.7816.8922.84—————