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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.CV2026

TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization

Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +2

TanGO is a training-free framework that edits 3D content from flow‑matching generative models by applying adaptive per‑token control in the tangent space of the model's dynamics, r…

cs.CV2026

InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image

Gwanhyeong Koo, Hyunsu Kim, Youngji Kim +5

Recent advances in single image-to-3D generation have enabled high-quality asset synthesis, yet extending these capabilities to indoor scene generation remains challenging. Existin…

cs.CV2026

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting

Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo +1

Gaussian Splatting has achieved significant improvements by incorporating warping-based techniques. However, such methods suffer from pixel-level inaccuracies due to uncertain geom…

cs.CL2026

Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM

SooHwan Eom, Jay Shim, Gwanhyeong Koo +4

The Transformer's quadratic complexity with input length imposes an unsustainable computational load on large language models (LLMs). In contrast, the Selective Scan Structured Sta…

cs.CL2026

PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning

Hee Suk Yoon, Eunseop Yoon, Ji Woo Hong +6

Reinforcement Learning with Verifiable Rewards (RLVR) traditionally relies on a sparse, outcome-based signal. Recent work shows that providing a fine-grained, model-intrinsic signa…

cs.CV2026

High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding

Ji Woo Hong, Hee Suk Yoon, Gwanhyeong Koo +5

Recent large-scale vision-language models (VLMs) have shown remarkable text-to-image generation capabilities, yet their visual fidelity remains constrained by the discrete image to…