3 citations · 7 across the 6 of their papers we have counts for
6 papers
MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer
Samuel Teodoro, Yun Chen, Agus Gunawan +3
Motion transfer enables controllable video generation by transferring temporal dynamics from a reference video to synthesize a new video conditioned on a target caption. However, e…
OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
Agus Gunawan, Samuel Teodoro, Yun Chen +3
Recent advancements in diffusion-based text synthesis have demonstrated significant performance in inserting and editing text within images via inpainting. However, despite the pot…
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
Agus Gunawan, Soo Ye Kim, Hyeonjun Sim +2
This paper firstly presents old photo modernization using multiple references by performing stylization and enhancement in a unified manner. In order to modernize old photos, we pr…
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
Agus Gunawan, Muhammad Adi Nugroho, Se Jin Park
In recent years, a ton of research has been conducted on real image denoising tasks. However, the efforts are more focused on improving real image denoising through creating a bett…
Understanding and Improving Group Normalization
Agus Gunawan, Xu Yin, Kang Zhang
Various normalization layers have been proposed to help the training of neural networks. Group Normalization (GN) is one of the effective and attractive studies that achieved signi…
CISRNet: Compressed Image Super-Resolution Network
Agus Gunawan, Sultan Rizky Hikmawan Madjid
In recent years, tons of research has been conducted on Single Image Super-Resolution (SISR). However, to the best of our knowledge, few of these studies are mainly focused on comp…