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Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
Jeongwoo Shin, Jinhwan Sul, Joonseok Lee +3
Diffusion models often yield highly curved trajectories and noisy score targets due to an uninformative, memoryless forward process that induces independent data-noise coupling. We…
Latent Expression Generation for Referring Image Segmentation and Grounding
Seonghoon Yu, Junbeom Hong, Joonseok Lee +1
Visual grounding tasks, such as referring image segmentation (RIS) and referring expression comprehension (REC), aim to localize a target object based on a given textual descriptio…
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
Suho Ryu, Kihyun Kim, Eugene Baek +2
A variety of text-guided image editing models have been proposed recently. However, there is no widely-accepted standard evaluation method mainly due to the subjective nature of th…
A Revisit to the Decoder for Camouflaged Object Detection
Seung Woo Ko, Joopyo Hong, Suyoung Kim +5
Camouflaged object detection (COD) aims to generate a fine-grained segmentation map of camouflaged objects hidden in their background. Due to the hidden nature of camouflaged objec…
GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting
Inseo Lee, Youngyoon Choi, Joonseok Lee
Implicit Neural Representation for Videos (NeRV) has introduced a novel paradigm for video representation and compression, outperforming traditional codecs. As model size grows, ho…
Activity Grammars for Temporal Action Segmentation
Dayoung Gong, Joonseok Lee, Deunsol Jung +2
Sequence prediction on temporal data requires the ability to understand compositional structures of multi-level semantics beyond individual and contextual properties. The task of t…