104 citations · 130 across the 5 of their papers we have counts for
5 papers
TexTailor: Customized Text-aligned Texturing via Effective Resampling
Suin Lee, Dae-Shik Kim
We present TexTailor, a novel method for generating consistent object textures from textual descriptions. Existing text-to-texture synthesis approaches utilize depth-aware diffusio…
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer
Gyeongdo Ham, Seonghak Kim, Suin Lee +2
Previous logits-based Knowledge Distillation (KD) have utilized predictions about multiple categories within each sample (i.e., class predictions) and have employed Kullback-Leible…
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Seonghak Kim, Gyeongdo Ham, Suin Lee +2
To apply the latest computer vision techniques that require a large computational cost in real industrial applications, knowledge distillation methods (KDs) are essential. Existing…
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
Seonghak Kim, Gyeongdo Ham, Yucheol Cho +1
The improvement in the performance of efficient and lightweight models (i.e., the student model) is achieved through knowledge distillation (KD), which involves transferring knowle…
Progressive Face Super-Resolution via Attention to Facial Landmark
Deokyun Kim, Minseon Kim, Gihyun Kwon +1
Face Super-Resolution (SR) is a subfield of the SR domain that specifically targets the reconstruction of face images. The main challenge of face SR is to restore essential facial…