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cs.CV2026

Rein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models

Dehui Wang, Rong Wei, Yue Shi +9

The growing demand for Embodied AI and VR applications has highlighted the need for synthesizing high-quality 3D indoor scenes from sparse inputs. However, existing approaches stru…

cs.CV2026

Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

Ganlin Yang, Tianyi Zhang, Haoran Hao +15

While significant research has focused on developing embodied reasoning capabilities using Vision-Language Models (VLMs) or integrating advanced VLMs into Vision-Language-Action (V…

cs.CV2025

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Yangguang Li, Zi-Xin Zou, Zexiang Liu +8

Recent advancements in diffusion techniques have propelled image and video generation to unprecedented levels of quality, significantly accelerating the deployment and application…

cs.CV2025

CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution

Kai Liu, Dehui Wang, Zhiteng Li +5

Low-bit model quantization for image super-resolution (SR) is a longstanding task that is renowned for its surprising compression and acceleration ability. However, accuracy degrad…

cs.CV2024

On Inductive Biases That Enable Generalization of Diffusion Transformers

Jie An, De Wang, Pengsheng Guo +2

Recent work studying the generalization of diffusion models with UNet-based denoisers reveals inductive biases that can be expressed via geometry-adaptive harmonic bases. However,…