SOTAVerified

Video Generation

( Various Video Generation Tasks. Gif credit: MaGViT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 1466 papers

TitleStatusHype
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models—0
NewMove: Customizing text-to-video models with novel motions—0
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects—0
CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers—0
CyberHost: Taming Audio-driven Avatar Diffusion Model with Region Codebook Attention—0
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation—0
DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models—0
Decouple Content and Motion for Conditional Image-to-Video Generation—0
DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
DeepVerse: 4D Autoregressive Video Generation as a World Model—0
Deep Video Generation, Prediction and Completion of Human Action Sequences—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation—0
Designing Parameter and Compute Efficient Diffusion Transformers using Distillation—0
DFVEdit: Conditional Delta Flow Vector for Zero-shot Video Editing—0
Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling—0
DialogueNeRF: Towards Realistic Avatar Face-to-Face Conversation Video Generation—0
DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models—0
DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation—0
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures—0
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation—0
Diffusion Adversarial Post-Training for One-Step Video Generation—0
Diffusion-based Realistic Listening Head Generation via Hybrid Motion Modeling—0
Diffusion Models for Robotic Manipulation: A Survey—0
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data—0
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion—0
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion—0
DirectorLLM for Human-Centric Video Generation—0
DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control—0
Disentangled Recurrent Wasserstein Autoencoder—0
Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation—0
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
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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