arXiv Computer Vision
Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language Models
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
Related stories
Hugging Face Trending Papers
Sep 8
3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints
The paper introduces 3DWay, a method that predicts 3D consistent waypoints for robot manipulation using multi‑view images. By first generating 2D waypoints that are consistent across views and then triangulating them, the approach provides explicit 3D motion specifications while leveraging pretrained vision‑language models. Experiments demonstrate that 3DWay improves 3D spatial grounding and vision‑language reasoning, enhancing the generalization of robot manipulation policies.
arXiv AI
Sep 10
3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints
The paper introduces 3DWay, a method that predicts 3D-consistent waypoints for robot manipulation by first generating multi‑view consistent 2D waypoints and then triangulating them. This approach addresses the 3D ambiguity inherent in 2D trajectory predictions and leverages pretrained vision‑language models to provide explicit 3D motion specifications. Experiments demonstrate that 3DWay improves 3D spatial grounding and vision‑language reasoning, enhancing generalization for robot manipulation tasks.
arXiv Computer Vision
Sep 30
DispFlow-GS: Displacement Flow Supervision with Motion Disentangling for Monocular Deformable 3D Gaussian Splatting
arXiv:2609.36940v1 Announce Type: new Abstract: Accurate dynamic scene reconstruction is important for robotic perception, where temporally consistent representations of dynamic environments are esse...
arXiv Computer Vision
Aug 25
Traj-VLN: Learning Pixel-Space Interaction via Autoregressive Trajectory Generation
arXiv:2607.10744v5 Announce Type: replace Abstract: Benefiting from the powerful priors embedded in large-scale pre-training data and the emerging commonsense reasoning ability, large language models...
arXiv Computer Vision
4d ago
MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction
arXiv:2606.18558v2 Announce Type: replace Abstract: Motion forecasting is central to visual intelligence: agents must anticipate how objects will move in order to plan actions, reason about physical...
arXiv AI
Aug 12
Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge Distillation
arXiv:2608. 10932v1 Announce Type: cross Abstract: Understanding camera motion is fundamental to video perception, with applications in spatial intelligence and controllable video generation.