S4VY: Segment Anything in Feed-Forward 4D Visual Geometry

arXiv:2609.36875 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-10-03

Terminology

• Grounding — 65× in this paper · explained in 3 episodes
• Benchmark — 29× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 28× in this paper
• Instance Segmentation — 24× in this paper · explained in 3 episodes
• Transformer — 14× in this paper · explained in 2 episodes
• Point Clouds — 13× in this paper · explained in 2 episodes
• Active Tree Search — 11× in this paper
• Visual Grounding — 8× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 7× in this paper
• Clustering — 6× in this paper · explained in 2 episodes
• Decode — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Embeddings — 5× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Distillation — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Self-Distillation — 4× in this paper · explained in 7 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Gaussian Splatting — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• IEEE International Conference on Robotics and Automation — 1× in this paper
• Mask Generation — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Qwen3-VL Technical Report
• ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
• Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
• Matterport3D: Learning from RGB-D Data in Indoor Environments
• Grounded 3D-LLM with Referent Tokens
• Mask2Former for Video Instance Segmentation
• SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
• SAM-V: Geometry-Aware Segment Anything for Multi-View Instance Segmentation
• GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
• LoRA: Low-Rank Adaptation of Large Language Models
• Segment Any 4D Gaussians
• FAST3DIS: Feed-forward Anchored Scene Transformer for 3D Instance Segmentation
• 4DVLT: Dynamic Scene Understanding with Worldline-Centered Vision-Language Tracking
• IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction
• SAM3-I: Segment Anything with Instructions
• LensWalk: Agentic Video Understanding by Planning How You See in Videos
• The 2017 DAVIS Challenge on Video Object Segmentation
• SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images
• ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes
• OpenMask3D: Open-Vocabulary 3D Instance Segmentation

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