Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 91 • 2
SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation Paper • 2610.25844 • Published 21 days ago • 31
Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers Paper • 2607.19139 • Published Jul 21 • 73
Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers Paper • 2607.19139 • Published Jul 21 • 73
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Paper • 2605.26632 • Published May 26 • 8
Rethinking Cross-Layer Information Routing in Diffusion Transformers Paper • 2605.20708 • Published May 20 • 113
Rethinking Cross-Layer Information Routing in Diffusion Transformers Paper • 2605.20708 • Published May 20 • 113
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 91
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 91
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 91