7 papers · 1 filter
Readout Blindness: VLM Scores Miss the Spatial Direction Their Frozen Encoders Retain
Guangyuan Li, Tianming Du, Yan Jiang +2
CLIP-like vision-language models remain a cornerstone of multimodal systems, yet their scores stay near chance on directed spatial relations, such as whether one object is left of…
GameDirector: Decoupling Gameplay Logic from Rendering for Player-Configurable Game World Models
Zijun Lin, Zhiyang Deng, Yuzhe Wu +2
Recent game world models support realistic visual simulation and interactive gameplay based on player inputs. However, they typically learn environment dynamics from pixel-level su…
Video-OPSD: Exploiting Privileged Visual Evidence for On-Policy Self-Distillation in Video Large Language Models
Ziyue Wang, Shiqi Huang, Weiwen Xu +2
On-policy self-distillation (OPSD) has recently emerged as an effective post-training paradigm that improves policy optimization through dense token-level supervision from a privil…
StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation
Zijun Lin, Zeqing Wang, Cheston Tan +2
Recent game world models can generate visually realistic and interactive environments conditioned on player actions. However, games are not defined by pixels alone; they are govern…
EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models
Shiqi Huang, Ziyue Wang, Zhongrong Zuo +3
Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoning through reinforcement learning (RL). However, existing RL pipelines rely he…
GEditBench v2: A Human-Aligned Benchmark for General Image Editing
Zhangqi Jiang, Zheng Sun, Xianfang Zeng +7
Recent advances in image editing have enabled models to handle complex instructions with impressive realism. However, existing evaluation frameworks lag behind: current benchmarks…
RSGround-R1: Rethinking Remote Sensing Visual Grounding through Spatial Reasoning
Shiqi Huang, Shuting He, Bihan Wen
Remote Sensing Visual Grounding (RSVG) aims to localize target objects in large-scale aerial imagery based on natural language descriptions. Owing to the vast spatial scale and hig…