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Analyzing and Improving the Training Dynamics of Diffusion Models
Paper • 2312.02696 • Published • 34 -
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Paper • 2312.12487 • Published • 9 -
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Paper • 2402.05468 • Published • 7
Hans
wav
AI & ML interests
Multi-modal generative models
Recent Activity
liked
a model
about 2 months ago
moondream/moondream3-preview
liked
a model
7 months ago
facebook/PE-Core-G14-448
liked
a model
9 months ago
Wan-AI/Wan2.1-T2V-14B
Organizations
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FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder
Paper • 2401.10032 • Published • 13 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 27 -
FreeInit: Bridging Initialization Gap in Video Diffusion Models
Paper • 2312.07537 • Published • 27 -
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Paper • 2312.05605 • Published • 3
-
Analyzing and Improving the Training Dynamics of Diffusion Models
Paper • 2312.02696 • Published • 34 -
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Paper • 2312.12487 • Published • 9 -
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Paper • 2402.05468 • Published • 7
-
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder
Paper • 2401.10032 • Published • 13 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 27 -
FreeInit: Bridging Initialization Gap in Video Diffusion Models
Paper • 2312.07537 • Published • 27 -
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Paper • 2312.05605 • Published • 3
datasets
0
None public yet