Olaf Dünkel
@oduenkel.bsky.social
ELLIS PhD @ MPI & Oxford - Generative Models for Vision
https://odunkel.github.io/
https://odunkel.github.io/
Pinned
Olaf Dünkel
@oduenkel.bsky.social
· Jun 26
Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
Currently travelling to #ICCV2025 and looking forward to presenting DIY-SC and CNS-Bench there!
DIY-SC: #538 at poster session 2
CNS-Bench: #1839 at poster session 5
Happy to chat during the poster sessions or at some other time if you are around!
DIY-SC: #538 at poster session 2
CNS-Bench: #1839 at poster session 5
Happy to chat during the poster sessions or at some other time if you are around!
October 18, 2025 at 10:47 PM
Currently travelling to #ICCV2025 and looking forward to presenting DIY-SC and CNS-Bench there!
DIY-SC: #538 at poster session 2
CNS-Bench: #1839 at poster session 5
Happy to chat during the poster sessions or at some other time if you are around!
DIY-SC: #538 at poster session 2
CNS-Bench: #1839 at poster session 5
Happy to chat during the poster sessions or at some other time if you are around!
Reposted by Olaf Dünkel
Super excited to introduce
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
October 16, 2025 at 9:07 AM
Super excited to introduce
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
You read this? You’ll likely read the linked post too.
You like it? Your followers might see it too.
In other words: Attention here → attention to Yotam’s post.
We explore how transformer attention can be propagated—like PageRank, but for attention.
Fun work with @yotamerel.bsky.social
You like it? Your followers might see it too.
In other words: Attention here → attention to Yotam’s post.
We explore how transformer attention can be propagated—like PageRank, but for attention.
Fun work with @yotamerel.bsky.social
July 24, 2025 at 4:49 PM
You read this? You’ll likely read the linked post too.
You like it? Your followers might see it too.
In other words: Attention here → attention to Yotam’s post.
We explore how transformer attention can be propagated—like PageRank, but for attention.
Fun work with @yotamerel.bsky.social
You like it? Your followers might see it too.
In other words: Attention here → attention to Yotam’s post.
We explore how transformer attention can be propagated—like PageRank, but for attention.
Fun work with @yotamerel.bsky.social
Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
June 26, 2025 at 12:56 PM
Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC