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Video Generation

( Various Video Generation Tasks. Gif credit: MaGViT )

Papers

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Showing 351–375 of 1466 papers

TitleStatusHype
LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation—0
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation—0
Object-Centric Image to Video Generation with Language GuidanceCode1
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video GenerationCode1
Phantom: Subject-consistent video generation via cross-modal alignmentCode5
MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation—0
RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control—0
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation ModelCode7
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation—0
AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance—0
CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation—0
FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis—0
Enhance-A-Video: Better Generated Video for FreeCode4
Contextual Gesture: Co-Speech Gesture Video Generation through Context-aware Gesture Representation—0
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos—0
Next Block Prediction: Video Generation via Semi-Auto-Regressive Modeling—0
Articulate That Object Part (ATOP): 3D Part Articulation from Text and Motion Personalization—0
Magic 1-For-1: Generating One Minute Video Clips within One MinuteCode0
VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation—0
History-Guided Video DiffusionCode3
Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists—0
TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow ModelsCode5
CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers—0
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention TileCode7
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
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All datasetsUCF-101BAIR Robot PushingSky Time-lapseUCF-101 16 frames, 64x64, UnconditionalUCF-101 16 frames, Unconditional, Single GPULAION-400MTaichiUCF-101 16 frames, 128x128, UnconditionalKinetics-600 12 frames, 64x64How2SignKinetics-600 12 frames, 128x128Kinetics-600 48 frames, 64x64

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MCVDFVD162,460—Unverified
2VDMFVD161,396—Unverified
3TGAN-v2 (128x128)FVD161,209—Unverified
4MCVD (64x64)FVD161,143—Unverified
5MoCoGAN-HD (256x256, unconditional)FVD16700—Unverified
6MagicVideo (256x256, text-conditional)FVD16699—Unverified
7TATS (256x256)FVD16635—Unverified
8FIFO-DiffusionFVD128596.64—Unverified
9DIGAN (128x128, unconditional)FVD16577—Unverified
10LVDM (256x256, unconditional)FVD16552—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoGANFVD score503—Unverified
2Baseline (from LVT)FVD score320.9—Unverified
3SVG-FP (from FVD)FVD score315.5—Unverified
4CDNA (from FVD)FVD score296.5—Unverified
5SV2P (from FVD)FVD score262.5—Unverified
6SVG-LP (from vRNN)FVD score256.62—Unverified
7WAMFVD score159.6—Unverified
8VRNN 1LFVD score149.22—Unverified
9SAVP (from vRNN)FVD score143.43—Unverified
10Hier-VRNNFVD score143.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoGAN-HD (128x128)FVD 16183.6—Unverified
2TATS (128x128)FVD 16132.6—Unverified
3Long-video GAN (256x256)FVD 16116.5—Unverified
4DIGAN (128x128)FVD 16114.6—Unverified
5Long-video GAN (128x128)FVD 16107.5—Unverified
6LVDM (256x256)FVD 1695.2—Unverified
7DDMIFVD 1666.25—Unverified
8Latte + LeanVAEFVD 1649.59—Unverified
9StyleSV (256x256)FVD 1649—Unverified
#ModelMetricClaimedVerifiedStatus
1Video Diffusion ModelInception Score57—Unverified
2TGAN-ODEInception Score15.2—Unverified
3TGAN-FInception Score13.62—Unverified
4MoCoGANInception Score12.42—Unverified
5MoCoGAN-MDPInception Score11.86—Unverified
6TGAN-SVCInception Score11.85—Unverified
7VGANInception Score8.18—Unverified
#ModelMetricClaimedVerifiedStatus
1TGAN-FInception Score22.91—Unverified
2TGANv2Inception Score21.45—Unverified
3TGANv2-ODEInception Score21.02—Unverified
4MoCoGANInception Score12.42—Unverified
5MoCoGAN-MDPInception Score11.86—Unverified
6TGAN-SVCInception Score11.85—Unverified
7VGANInception Score8.18—Unverified
#ModelMetricClaimedVerifiedStatus
1Imagen original (constant=6)CLIP R-Precision92.12—Unverified
2Imagen fully distilled (oscillate (15,1))CLIP R-Precision90.97—Unverified
3Imagen distilled (constant=6)CLIP R-Precision90.88—Unverified
4Imagen original (oscillate(15,1))CLIP R-Precision89.91—Unverified
5Imagen fully distilled (constant=6)CLIP R-Precision89.68—Unverified
6Imagen distilled (oscillate (15,1))CLIP R-Precision88.78—Unverified
#ModelMetricClaimedVerifiedStatus
1DIGAN (256x256)FVD16156.7—Unverified
2MoCoGAN-HD (128x128)FVD16144.7—Unverified
3DIGAN (128x128)FVD16128.1—Unverified
4LVDM (256x256)FVD1699—Unverified
5TATS (128x128)FVD1694.6—Unverified
6StyleSV (256x256)FVD1682.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TGANv2 (2020)Inception Score28.87—Unverified
2DVD-GANInception Score27.38—Unverified
3VideoGPTInception Score24.69—Unverified
4TGANv2Inception Score24.34—Unverified
5TGAN-FInception Score22.91—Unverified
6TGANv2-ODEInception Score21.02—Unverified
#ModelMetricClaimedVerifiedStatus
1DVD-GANFVD31.1—Unverified
2MAGVITFVD9.9—Unverified
#ModelMetricClaimedVerifiedStatus
1INR-VFVD16144—Unverified
#ModelMetricClaimedVerifiedStatus
1DVD-GANFID2.16—Unverified
#ModelMetricClaimedVerifiedStatus
1DVD-GANFID12.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DiT-XL/2 + CVAE-FT-SEFID8.59—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAssembler (Zero-Shot, 256x256, class-conditional)FVD16252—Unverified
#ModelMetricClaimedVerifiedStatus
1PG-SWGAN-3DFID404.1—Unverified
#ModelMetricClaimedVerifiedStatus
1StyleSVFVD16207.2—Unverified