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From the 1 of 5 linked papers with an AI index.

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20242026
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cs.CV2026

Articulated Object Reconstruction from Rest-State Observation

Daeun Lee, Jaeah Lee, Woosung Kim +2

The paper presents a method to recover both the 3D shape and the joint structure of articulated objects from a single static pose by fusing mesh modeling, vision‑language cues, and…

cs.CV2026

Vitality-Aware Compression for Efficient Image-to-Shape Diffusion Transformers

Jaeah Lee, Hyunjin Kim, Jaewoong Cho +1

We propose the first compression approach for image-to-shape Diffusion Transformers (DiTs) that substantially reduces model size while preserving geometric fidelity. Despite remark…

cs.CV2025

Improving Editability in Image Generation with Layer-wise Memory

Daneul Kim, Jaeah Lee, Jaesik Park

Most real-world image editing tasks require multiple sequential edits to achieve desired results. Current editing approaches, primarily designed for single-object modifications, st…

cs.CV2025

Recovering Dynamic 3D Sketches from Videos

Jaeah Lee, Changwoon Choi, Young Min Kim +1

Understanding 3D motion from videos presents inherent challenges due to the diverse types of movement, ranging from rigid and deformable objects to articulated structures. To overc…

cs.CV2024

3Doodle: Compact Abstraction of Objects with 3D Strokes

Changwoon Choi, Jaeah Lee, Jaesik Park +1

While free-hand sketching has long served as an efficient representation to convey characteristics of an object, they are often subjective, deviating significantly from realistic r…