Tae Eun Choi — accepted AI-conference papers

2026

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening

Tae Eun Choi, Sumin Shim, Junhyeok Kim, Seong Jae Hwang

CVPR 2026

Generative inbetweening (GI) seeks to synthesize realistic intermediate frames between the first and last keyframes beyond mere interpolation. As sequences become sparser and motions larger, previous GI models struggle with inconsistent frames with unstable pacing and semantic misalignment. Since GI

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2025

WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image

Jiwoo Park, Tae Eun Choi, Youngjun Jun, Seong Jae Hwang

ICCV 2025poster

Generating high-quality novel views of a scene from a single image requires maintaining structural coherence across different views, referred to as view consistency.While diffusion models have driven advancements in novel view synthesis, they still struggle to preserve spatial continuity across view…

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