most citedEscherNet: A Generative Model for Scalable View Synthesis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

KV-Tracker: Real-Time Pose Tracking with Transformers

Marwan Taher, Ignacio Alzugaray, Kirill Mazur +2

Multi-view 3D geometry networks offer a powerful prior but are prohibitively slow for real-time applications. We propose a novel way to adapt them for online use, enabling real-tim…

cs.RO2025

STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Models

Feng Xu, Guangyao Zhai, Xin Kong +4

Recent advances in Vision-Language-Action (VLA) models, powered by large language models and reinforcement learning-based fine-tuning, have shown remarkable progress in robotic man…

cs.CV2025

CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis

Xin Kong, Daniel Watson, Yannick Strümpler +2

Multi-view diffusion models have shown promise in 3D novel view synthesis, but most existing methods adopt a non-autoregressive formulation. This limits their applicability in worl…

cs.RO2025

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation

Yongxu Wang, Weiyun Yi, Xinhao Kong +1

With the rapid development of embodied intelligence, leveraging large-scale human data for high-level imitation learning on humanoid robots has become a focal point of interest in…

cs.CV2024★ 2 cited

EscherNet: A Generative Model for Scalable View Synthesis

Xin Kong, Shikun Liu, Xiaoyang Lyu +3

We introduce EscherNet, a multi-view conditioned diffusion model for view synthesis. EscherNet learns implicit and generative 3D representations coupled with a specialised camera p…