At edit time, we keep the residual fixed, replace the original condition with the edited one, and generate the result.
This preserves unedited regions while resynthesizing effects such as shadows and reflections.
Paper and results:
https://t.co/9VeAYllzzj
🎉 Excited to share ResEdit, our EGSR 2026 Journal Track paper!
ResEdit separates an image’s identity from the user-controllable editing signal, enabling precise edits to geometry, material, and lighting while preserving the source image. 1/4
ResEdit learns a residual image embedding that captures identity information missing from the editable condition.
A gradient-reversal objective prevents the residual from encoding that condition, helping disentangle identity from the user-controlled signal. 3/4
GANs like StyleGAN generate highly realistic images. But adapting them to new domains or tasks like text-guided editing or reference-guided synthesis with limited data is challenging! 🖼️✨
Our #SIGGRAPHAsia 2024 paper, HyperGAN-CLIP, tackles this: https://t.co/xSdivRsUO2 (1/n)
2023 has been an amazing year for our students at the @KuisAICenter. A few highlights: @ilker_kesen successfully defended his PhD thesis on reasoning in vision-language systems: https://t.co/HddiFkKYcF
1/4
📢Our project webpage now includes links to the GitHub repo of CLIPInverter and a demo on @huggingface Spaces!
Code: https://t.co/jFfdTkZe0t
Demo: https://t.co/fuUnvmjRpu
I am delighted to announce my first paper “CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing” is accepted to ACM TOG.Big thanks to my colleague @abdul_basit_98 and all my advisors @aykuterdemml@erkuterdem@denizyuret@guerrera_desesp for their continuous support.
Antakya Akevler mah. Vali göbeği üstü fahri Korutürk caddesi 6. Akevler sok. Kesişimi bayraktar apt. önüne bir çadır bir ısıtıcı lazım acil bir şekilde. Paylaşabilir misiniz
Ali Eryılmaz 0 (505) 577 88 07 #hatay#antakya#deprem@ahbap@OguzhanUgur@haluklevent@babalativi
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