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Found 5 papers, 1 papers with code
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars.
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Second, each support sample is used as a class code to leverage the information by comparing similarities between each support feature and query features.
Ranked #14 on
Few-Shot Object Detection
on MS-COCO (30-shot)
StyleUV: Diverse and High-fidelity UV Map Generative Model
Meanwhile, with the advent of Generative Adversarial Networks (GANs), there has been great progress in reconstructing realistic 2D images.
Motion Feature Network: Fixed Motion Filter for Action Recognition
However, it has an expensive computational cost and requires two-stream (RGB and optical flow) framework.
Where to Play: Retrieval of Video Segments using Natural-Language Queries
Through quantitative and qualitative evaluation, we show that our method is effective for retrieval of video segments using natural language queries.
