Prépublication
· 2026 arXiv
EN
Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond pixels: to animate a specific 3D asset and replay the animation in its 3D scene. For instance, a video model can show a monkey jumping over a cr...
Noam Rotstein, Yoad Tewel et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a...
Yanbo Wang, Siqi Luo et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
While LLM agents can generate visually plausible CAD assemblies, these designs often fail to fulfill their intended physical functions. We study functional CAD design, a setting where agents interpret underspecified requests to construct and iteratively revise...
Wenqian Zhang, Yangyi Huang et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance for localizing errors in visual reasoning. On-policy self-distillation (OPSD) complements this supervision with dense token-l...
Shiao Xie, Siyu Chen et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Pixel-space diffusion models have recently re-emerged as a compelling alternative to latent diffusion, avoiding the lossy latent bottleneck and separately trained autoencoder. JiT shows that a vanilla diffusion transformer can generate directly in pixel space...
Soumik Mukhopadhyay, Long Mai et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view dependence of these features entangles scene dynamics with camera-induced variati...
Hongchang Liu, Jian Liu et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-scale, high-quality datasets of executable 3D code, a coding harness for spatial reasoning and automate...
Yipeng Gao, Ziyao Zeng et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating a gap between the inp...
Sara Dorfman, Nir Goren et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse actions. However, games, with their visually rich worlds and diverse mechanics, remain challenging and offer a demanding next step toward general...
Mingyu Ouyang, Yiran Wang et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in isolation despite their tight coupling in real-world interaction. We propose the Ego-Action-World interaction loop as a unifying princ...
Songruo Chen, Yuqian Fu et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods interpret models using human-understandable concepts. Existing concept-based methods can only interpret classifi...
Bhanu Tokas, Rahul Nair et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the spatial layouts from those viewpoints. But can Large Vision-Language Models (LVLMs) proactively think in the s...
Yuhong Liu, Shenxi Wu et al.
#cs.CV