5 papers · 1 filter
TempoSyncDiff: Distilled Temporally-Consistent Diffusion for Low-Latency Audio-Driven Talking Head Generation
Soumya Mazumdar, Vineet Kumar Rakesh
Diffusion models have recently advanced photorealistic human synthesis, although practical talking-head generation (THG) remains constrained by high inference latency, temporal ins…
BayesFusion-SDF: Probabilistic Signed Distance Fusion with View Planning on CPU
Soumya Mazumdar, Vineet Kumar Rakesh, Tapas Samanta
Key part of robotics, augmented reality, and digital inspection is dense 3D reconstruction from depth observations. Traditional volumetric fusion techniques, including truncated si…
VedicTHG: Symbolic Vedic Computation for Low-Resource Talking-Head Generation in Educational Avatars
Vineet Kumar Rakesh, Ahana Bhattacharjee, Soumya Mazumdar +4
Talking-head avatars are increasingly adopted in educational technology to deliver content with social presence and improved engagement. However, many recent talking-head generatio…
Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification
Vineet Kumar Rakesh, Soumya Mazumdar, Tapas Samanta +2
Lightweight convolutional and transformer-based networks are increasingly preferred for real-time image classification, especially on resource-constrained devices. This study evalu…
Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
Vineet Kumar Rakesh, Soumya Mazumdar, Research Pratim Maity +3
Talking Head Generation (THG) has emerged as a transformative technology in computer vision, enabling the synthesis of realistic human faces synchronized with image, audio, text, o…