GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper
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2312.04557
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Published
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13
daily papers
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Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Paper • 2312.04461 • Published • 62 -
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Paper • 2401.02955 • Published • 21 -
Denoising Vision Transformers
Paper • 2401.02957 • Published • 28 -
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
Paper • 2312.16272 • Published • 6 -
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion
Paper • 2312.16486 • Published • 6 -
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models
Paper • 2411.07126 • Published • 28 -
Motion Control for Enhanced Complex Action Video Generation
Paper • 2411.08328 • Published • 5 -
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Paper • 2411.07975 • Published • 27 -
Pyramidal Flow Matching for Efficient Video Generative Modeling
Paper • 2410.05954 • Published • 39 -
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
Paper • 2412.04432 • Published • 15 -
LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
Paper • 2412.04814 • Published • 45 -
Mind the Time: Temporally-Controlled Multi-Event Video Generation
Paper • 2412.05263 • Published • 10 -
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Paper • 2412.01169 • Published • 12 -
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 53 -
UIP2P: Unsupervised Instruction-based Image Editing via Cycle Edit Consistency
Paper • 2412.15216 • Published • 5 -
MotiF: Making Text Count in Image Animation with Motion Focal Loss
Paper • 2412.16153 • Published • 6 -
Large Motion Video Autoencoding with Cross-modal Video VAE
Paper • 2412.17805 • Published • 24 -
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
Paper • 2501.09503 • Published • 10 -
Do generative video models learn physical principles from watching videos?
Paper • 2501.09038 • Published • 24