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cs.CV2026
FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena +3
Flow Matching (FM) has recently emerged as a powerful approach for high-quality visual generation. However, their prohibitively slow inference due to a large number of denoising st…
cs.CV2025
Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
Shubham Agarwal, Subrata Mitra, Saud Iqbal
Text-to-image (T2I) models have gained significant popularity. Most of these are diffusion models with unique computational characteristics, distinct from both traditional small-sc…
cs.CV2023
Approximate Caching for Efficiently Serving Diffusion Models
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty +3
Text-to-image generation using diffusion models has seen explosive popularity owing to their ability in producing high quality images adhering to text prompts. However, production-…