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Video Generation

( Various Video Generation Tasks. Gif credit: MaGViT )

Papers

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Showing 326–350 of 1466 papers

TitleStatusHype
Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video GenerationCode1
Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachCode1
High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical LightsCode0
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment—0
GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera ControlCode5
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video GenerationCode0
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You ThinkCode1
Unified Video Action Model—0
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models—0
Mobius: Text to Seamless Looping Video Generation via Latent ShiftCode2
C-Drag: Chain-of-Thought Driven Motion Controller for Video GenerationCode1
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute—0
Online Pseudo-average Shifting Attention(PASA) for Robust Low-precision LLM Inference: Algorithms and Numerical Analysis—0
ASurvey: Spatiotemporal Consistency in Video Generation—0
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model InferenceCode4
VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing—0
X-Dancer: Expressive Music to Human Dance Video Generation—0
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future DirectionsCode2
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers—0
Hardware-Friendly Static Quantization Method for Video Diffusion Transformers—0
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers—0
Improving the Diffusability of Autoencoders—0
Designing Parameter and Compute Efficient Diffusion Transformers using Distillation—0
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video GenerationCode1
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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