oguzhanercan
's Collections
Video Generation
updated
DynamicScaler: Seamless and Scalable Video Generation for Panoramic
Scenes
Paper
•
2412.11100
•
Published
•
7
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
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Published
•
8
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Paper
•
2412.04448
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Published
•
10
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse
Viewpoints
Paper
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2412.07760
•
Published
•
55
Track4Gen: Teaching Video Diffusion Models to Track Points Improves
Video Generation
Paper
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2412.06016
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Published
•
20
Video Creation by Demonstration
Paper
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2412.09551
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Published
•
9
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at
Scale
Paper
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2412.06699
•
Published
•
13
Mind the Time: Temporally-Controlled Multi-Event Video Generation
Paper
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2412.05263
•
Published
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11
LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis
Paper
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2412.15214
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Published
•
15
Autoregressive Video Generation without Vector Quantization
Paper
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2412.14169
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Published
•
14
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion
Transformer for Tuning-Free Multi-Prompt Longer Video Generation
Paper
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2412.18597
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Published
•
19
TransPixar: Advancing Text-to-Video Generation with Transparency
Paper
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2501.03006
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Published
•
26
Diffusion Adversarial Post-Training for One-Step Video Generation
Paper
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2501.08316
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Published
•
33
RepVideo: Rethinking Cross-Layer Representation for Video Generation
Paper
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2501.08994
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Published
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15
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
Paper
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2501.10687
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Published
•
12
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using
Real-Time Warped Noise
Paper
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2501.08331
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Published
•
20
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human
Animation Models
Paper
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2502.01061
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Published
•
199
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion
Generation in Video Models
Paper
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2502.02492
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Published
•
63
Goku: Flow Based Video Generative Foundation Models
Paper
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2502.04896
•
Published
•
102
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution
Video Generation
Paper
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2502.05179
•
Published
•
24
Magic 1-For-1: Generating One Minute Video Clips within One Minute
Paper
•
2502.07701
•
Published
•
34
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of
Video Foundation Model
Paper
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2502.10248
•
Published
•
53
Mobius: Text to Seamless Looping Video Generation via Latent Shift
Paper
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2502.20307
•
Published
•
17
Open-Sora 2.0: Training a Commercial-Level Video Generation Model in
$200k
Paper
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2503.09642
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Published
•
16
DreamRelation: Relation-Centric Video Customization
Paper
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2503.07602
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Published
•
14
Make Your Training Flexible: Towards Deployment-Efficient Video Models
Paper
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2503.14237
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Published
•
5
Video-T1: Test-Time Scaling for Video Generation
Paper
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2503.18942
•
Published
•
73