Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
Paper • 2409.02426 • Published • 1
Yanjin He
Nikojamesnow
AI & ML interests
Diffusion Model
Computer Vision
Machine Learning Theory
Recent Activity
upvoted a paper about 14 hours ago
Diffusion Models Learn Low-Dimensional Distributions via Subspace
Clustering upvoted a paper about 14 hours ago
Generalization of Diffusion Models Arises with a Balanced Representation Space upvoted a paper about 14 hours ago
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsOrganizations
None yet
upvoted 8
papers about 14 hours ago
Generalization of Diffusion Models Arises with a Balanced Representation Space
Paper • 2512.20963 • Published • 2
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
Paper • 2409.03368 • Published • 2
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps
Paper • 2605.16928 • Published • 92
Rethinking Cross-Layer Information Routing in Diffusion Transformers
Paper • 2605.20708 • Published • 113
Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers
Paper • 2607.19139 • Published • 76
Super-Resolution in The Right Latent Space: A Frozen Vision-Foundation Substrate
Paper • 2610.04781 • Published • 26
Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation
Paper • 2610.14553 • Published • 1
submitted a
paper to Daily Papers about 16 hours ago
authored 3
papers 1 day ago
SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation
Paper • 2610.25844 • Published • 27
Super-Resolution in The Right Latent Space: A Frozen Vision-Foundation Substrate
Paper • 2610.04781 • Published • 26
Scaling and Distilling Text Embeddings for Better Diffusibility
Paper • 2610.01016 • Published • 58
upvoted a paper 1 day ago
upvoted a paper 19 days ago
liked a
dataset over 1 year ago
updated 2
models over 2 years ago