Distillation of Diffusion Features for Semantic Correspondence

4 December 2024

Papers citing "Distillation of Diffusion Features for Semantic Correspondence"

5 / 5 papers shown

Title
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels Olaf Dünkel Thomas Wimmer Christian Theobalt Christian Rupprecht Adam Kortylewski 3DPC 131 0 0 05 Jun 2025
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Johannes Schusterbauer Ming Gui Frank Fundel Bjorn Ommer 43 0 0 02 Jun 2025
Semantic Correspondence: Unified Benchmarking and a Strong Baseline Kaiyan Zhang Xinghui Li Jingyi Lu Kai Han 3DV 106 1 0 23 May 2025
Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies Jonas Loos Lorenz Linhardt 79 0 0 09 Apr 2025
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 221 5 0 09 Dec 2024