Skip to content

Author

Chaehyun Kim

We have 4 of 12 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

FL4N: Feed-forward Latent Model for 4D Novel View Synthesis

4D novel view synthesis (NVS) aims to render dynamic scenes across viewpoints and timestamps, which requires jointly inferring 3D structure and temporal dynamics. Existing monocular feed-forward methods often rely on explicit 4D Gaussian representations, which are prone to temporal inconsistency and severe rendering ar...

Eunbeen Hong, Hyeonseo Yu, Honggyu An et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning

Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader behavioral and environmental experience, while learning from them faces a funda...

Chaehyun Kim, Chi-Pin Huang, Jisoo Kim et al. · 0 citations
Preprint Aug 2026

SAM3Dual: A 3rd Place Solution to the MOSEv2 Track, 8th LSVOS Challenge

We present SAM3Dual, our third-place solution to the MOSEv2 track of the 8th Large-scale Video Object Segmentation (LSVOS) Challenge at ECCV 2026. SAM3Dual is a training-free inference extension of pretrained SAM 3 that explicitly separates temporal memory into a short-term branch for recent observations and a long-ter...

Jeongrae Kim, Chaehyun Kim, Changwon Lim · 0 citations
Review Sep 2026

Report of the 8th LSVOS Challenge: Complex and Multimodal Video Object Segmentation

Across the nine leading solutions, foundation segmentation models are combined with target-aware memory, multimodal reasoning, explicit target-existence verification, agentic interaction, and corrective tracking, illustrating a broader transition from single-model mask propagation toward modular pipelines that reason a...

Chang Liu, Heng-Hui Ding, Ling-Yi Hong et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.