DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
Paper
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2412.11100
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Published
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7
Video Generation
Video Generation
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LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
Paper • 2412.09856 • Published • 10 -
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
Paper • 2412.09349 • Published • 8 -
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Paper • 2412.04448 • Published • 10 -
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Paper • 2412.07760 • Published • 55 -
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
Paper • 2412.06016 • Published • 20 -
Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 -
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
Paper • 2412.06699 • Published • 13 -
Mind the Time: Temporally-Controlled Multi-Event Video Generation
Paper • 2412.05263 • Published • 11 -
LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis
Paper • 2412.15214 • Published • 15 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14 -
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
Paper • 2412.18597 • Published • 20 -
TransPixar: Advancing Text-to-Video Generation with Transparency
Paper • 2501.03006 • Published • 26 -
Diffusion Adversarial Post-Training for One-Step Video Generation
Paper • 2501.08316 • Published • 35 -
RepVideo: Rethinking Cross-Layer Representation for Video Generation
Paper • 2501.08994 • Published • 15 -
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
Paper • 2501.10687 • Published • 14 -
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
Paper • 2501.08331 • Published • 20 -
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
Paper • 2502.01061 • Published • 222 -
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Paper • 2502.02492 • Published • 66 -
Goku: Flow Based Video Generative Foundation Models
Paper • 2502.04896 • Published • 106 -
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Paper • 2502.05179 • Published • 24 -
Magic 1-For-1: Generating One Minute Video Clips within One Minute
Paper • 2502.07701 • Published • 35 -
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Paper • 2502.10248 • Published • 55 -
Mobius: Text to Seamless Looping Video Generation via Latent Shift
Paper • 2502.20307 • Published • 19 -
Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k
Paper • 2503.09642 • Published • 19 -
DreamRelation: Relation-Centric Video Customization
Paper • 2503.07602 • Published • 14 -
Make Your Training Flexible: Towards Deployment-Efficient Video Models
Paper • 2503.14237 • Published • 5 -
Video-T1: Test-Time Scaling for Video Generation
Paper • 2503.18942 • Published • 90 -
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
Paper • 2504.01014 • Published • 70 -
Towards Physically Plausible Video Generation via VLM Planning
Paper • 2503.23368 • Published • 40 -
MoCha: Towards Movie-Grade Talking Character Synthesis
Paper • 2503.23307 • Published • 138 -
DiTaiListener: Controllable High Fidelity Listener Video Generation with Diffusion
Paper • 2504.04010 • Published • 9 -
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Paper • 2504.08685 • Published • 130 -
Packing Input Frame Context in Next-Frame Prediction Models for Video Generation
Paper • 2504.12626 • Published • 51 -
RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild
Paper • 2504.14977 • Published • 10 -
ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction
Paper • 2504.21855 • Published • 13 -
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper • 2506.08009 • Published • 30 -
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
Paper • 2506.18899 • Published • 5 -
VMoBA: Mixture-of-Block Attention for Video Diffusion Models
Paper • 2506.23858 • Published • 32 -
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
Paper • 2507.07202 • Published • 24 -
UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
Paper • 2511.08521 • Published • 37