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K
홈
SOTA
Video Prediction
Video Prediction On Kinetics 600 12 Frames
Video Prediction On Kinetics 600 12 Frames
평가 지표
Cond
FVD
Pred
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Cond
FVD
Pred
Paper Title
Repository
Video Transformer
5
170±5
11
Scaling Autoregressive Video Models
OmniTokenizer-AR
-
32.9
-
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
LARP
5
5.1
11
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
DVD-GAN-FP
5
69.15±0.78
11
Adversarial Video Generation on Complex Datasets
LVT
5
224.73
11
Latent Video Transformer
RIN (1000 steps)
-
10.8
-
Scalable Adaptive Computation for Iterative Generation
TriVD-GAN-FP
5
25.74±0.66
11
Transformation-based Adversarial Video Prediction on Large-Scale Data
-
MAGVIT (-L-FP)
5
9.9±0.3
11
MAGVIT: Masked Generative Video Transformer
MAGVIT-v2
-
4.3±0.1
-
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
CCVS
5
55±1
11
CCVS: Context-aware Controllable Video Synthesis
MAGVIT (-B-FP)
5
24.5±0.9
11
MAGVIT: Masked Generative Video Transformer
W.A.L.T.-L
-
3.3
-
Photorealistic Video Generation with Diffusion Models
-
Video VQ-VAE FVD
4
64.30±2.04
12
Predicting Video with VQVAE
RIN (400 steps)
-
11.5
-
Scalable Adaptive Computation for Iterative Generation
RaMViD
5
16.46
11
Diffusion Models for Video Prediction and Infilling
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