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Found 5 papers, 2 papers with code
Generating Human Motion in 3D Scenes from Text Descriptions
For motion generation, we design an object-centric scene representation for the generative model to focus on the target object, thereby reducing the scene complexity and facilitating the modeling of the relationship between human motions and the object.
Learning Human Mesh Recovery in 3D Scenes
We present a novel method for recovering the absolute pose and shape of a human in a pre-scanned scene given a single image.
Long-term Visual Localization with Mobile Sensors
Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging problem due to huge appearance disparity between query and reference images caused by illumination, seasonal and structural changes.
LoFTR: Detector-Free Local Feature Matching with Transformers
We present a novel method for local image feature matching.
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Instead of feature pooling, we use group convolutions to exploit underlying structures of the extracted features on the group, resulting in descriptors that are both discriminative and provably invariant to the group of transformations.
