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Agneet Chatterjee

4 accepted papers

2025

AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models

EMNLP 2025

Text-to-Image (T2I) models have recently achieved remarkable success in generating images from textual descriptions. However, challenges still persist in accurately rendering complex scenes where actions and interactions form the primary semantic focus. Our key observation in this work is that T2I m

2025

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation

NeurIPS 2025poster

Recent advances in video generation have enabled high-fidelity video synthesis from user provided prompts. However, existing models and benchmarks fail to capture the complexity and requirements of professional video generation. Towards that goal, we introduce Stable Cinemetrics, a structured evalua…

Cited by 0SourceScholar
2024

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’

NAACL 2024findings

Large Language Models (LLMs) have achieved remarkable performance across a wide variety of tasks; however, their large size makes their inference slow and computationally expensive. Focusing on this problem, we study instruction tuning LLMs with additional explicit Losses from the Intermediate layer…

2024

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation

CVPR 2024poster

Recent advances in monocular depth estimation have been made by incorporating natural language as additional guidance. Although yielding impressive results the impact of the language prior particularly in terms of generalization and robustness remains unexplored. In this paper we address this gap by…