21 citations · 48 across the 6 of their papers we have counts for
5 papers · 1 filter
GenVideo: One-shot Target-image and Shape Aware Video Editing using T2I Diffusion Models
Sai Sree Harsha, Ambareesh Revanur, Dhwanit Agarwal +1
Video editing methods based on diffusion models that rely solely on a text prompt for the edit are hindered by the limited expressive power of text prompts. Thus, incorporating a r…
CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
Ambareesh Revanur, Debraj Basu, Shradha Agrawal +2
Edit fidelity is a significant issue in open-world controllable generative image editing. Recently, CLIP-based approaches have traded off simplicity to alleviate these problems by…
Instantaneous Physiological Estimation using Video Transformers
Ambareesh Revanur, Ananyananda Dasari, Conrad S. Tucker +1
Video-based physiological signal estimation has been limited primarily to predicting episodic scores in windowed intervals. While these intermittent values are useful, they provide…
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur, Vijay Kumar, Deepthi Sharma
We consider the problem of complementary fashion prediction. Existing approaches focus on learning an embedding space where fashion items from different categories that are visuall…
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare +2
We present a deployment friendly, fast bottom-up framework for multi-person 3D human pose estimation. We adopt a novel neural representation of multi-person 3D pose which unifies t…