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20232026
most citedInpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models

2 citations · 6 across the 32 of their papers we have counts for

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10 papers · 1 filter

cs.RO2026

Revealing and Bridging the Physical Executability Gap in Vision-Language Navigation

Gang He, Zhile Cheng, Kepeng Xu +2

Continuous vision-and-language navigation (VLN) is typically evaluated by goal-reaching success, assuming it reflects an agent's ability to execute language-grounded behavior. We s…

cs.CV2026

RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing

Wanning He, Yuyao Zhang, Yu-Wing Tai

Multi-reference image generation requires preserving the appearance of multiple subjects while composing them into a coherent scene. However, existing diffusion transformers common…

cs.CV2026

Just Align : Aligning Predictions, Not Representations

Yuyao Zhang, Yuwei Hu, Ziyang Mai +1

Representation alignment has become an effective way to accelerate diffusion training, but its benefits do not transfer reliably to pixel-space clean-image prediction. In JiT, we f…

cs.CV2026

When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution

Yu Shi, Yuyao Zhang, Yu-wing Tai

Image super-resolution (SR) with large generative models has recently achieved remarkable perceptual quality, yet maintaining fidelity to the LR observation remains challenging. In…

cs.CV2026

IDEAL-Bench: Indoor Dataset and Evaluation suite for Analyzing 3D Layout reasoning

Yuening Cai, Junwei Zhou, Youran Qu +1

Spatial question answering is the dominant paradigm for evaluating spatial intelligence in Vision-Language Models (VLMs), but it leaves a complementary axis of spatial competence u…

cs.CV2026

Beyond MoCap: Scaling Motion Tokenizers with Synthetic Human Motion for Generative Modeling

Yiwen Yan, Wanning He, Yu-Wing Tai

Human motion generation models are fundamentally constrained by the limited diversity of motion capture datasets, which predominantly contain common, repetitive actions and fail to…

cs.CV2026

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing

Yuyao Zhang, Alexander Huang-Menders, Yu-Wing Tai

High-resolution image editing is essential for professional and creative applications, yet existing multimodal diffusion-based editors remain computationally inefficient and constr…

cs.CV2026

AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling

Ziyang Mai, Yuyao Zhang, Yu-Wing Tai

Recent diffusion-based video generators have achieved remarkable visual fidelity and prompt controllability, yet scaling them to ultra-high-resolution (UHR) long videos remains pro…

cs.RO2026

ReasonNavi: Human-Inspired Global Map Reasoning for Zero-Shot Embodied Navigation

Yuzhuo Ao, Anbang Wang, Yu-Wing Tai +1

Embodied agents often struggle with efficient navigation because they rely primarily on partial egocentric observations, which restrict global foresight and lead to inefficient exp…

cs.CV2026

CoT-Seg: Rethinking Segmentation with Chain-of-Thought Reasoning and Self-Correction

Shiu-hong Kao, Chak Ho Huang, Huaiqian Liu +2

Existing works of reasoning segmentation often fall short in complex cases, particularly when addressing complicated queries and out-of-domain images. Inspired by the chain-of-thou…