SOTAVerified

Video Generation

( Various Video Generation Tasks. Gif credit: MaGViT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 1466 papers

TitleStatusHype
DiTFastAttn: Attention Compression for Diffusion Transformer Models—0
DiTPainter: Efficient Video Inpainting with Diffusion Transformers—0
DIVD: Deblurring with Improved Video Diffusion Model—0
DiVE: DiT-based Video Generation with Enhanced Control—0
DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer—0
DIY Human Action Data Set Generation—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships—0
DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers—0
DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds—0
DreamDrive: Generative 4D Scene Modeling from Street View Images—0
DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework—0
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation—0
Dreamix: Video Diffusion Models are General Video Editors—0
DreaMoving: A Human Video Generation Framework based on Diffusion Models—0
DreamRelation: Relation-Centric Video Customization—0
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation—0
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control—0
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion—0
DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance—0
DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation—0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving—0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion—0
DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation—0
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers—0
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis—0
DualReal: Adaptive Joint Training for Lossless Identity-Motion Fusion in Video Customization—0
Dual-Stream Diffusion Net for Text-to-Video Generation—0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
Dynamic Camera Poses and Where to Find Them—0
Dynamic-I2V: Exploring Image-to-Video Generaion Models via Multimodal LLM—0
Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions—0
DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes—0
DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation—0
E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors—0
EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation—0
EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model—0
Echocardiography video synthesis from end diastolic semantic map via diffusion model—0
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation—0
EEG to fMRI Synthesis: Is Deep Learning a candidate?—0
Efficient training for future video generation based on hierarchical disentangled representation of latent variables—0
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition—0
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation—0
EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation—0
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation—0
EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions—0
Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs—0
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning—0
Enabling Versatile Controls for Video Diffusion Models—0
Enabling Visual Composition and Animation in Unsupervised Video Generation—0
Show:102550
← PrevPage 19 of 30Next →
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