A Survey of Temporal Antialiasing Techniques. (13th July 2020)

• Record Type: Journal Article
• Authors: Yang, Lei; Liu, Shiqiu; Salvi, Marco
• Is Part Of: Computer graphics forum. Volume 39:Number 2(2020)
• Page Start: 607
• Page End: 621
• Publication Date: 2020-07-13
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14018
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Temporal Antialiasing (TAA), formally defined as temporally‐amortized supersampling, is the most widely used antialiasing technique in today's real‐time renderers and game engines. This survey provides a systematic overview of this technique. We first review the history of TAA, its development path and related work. We then identify the two main sub‐components of TAA, sample accumulation and history validation, and discuss algorithmic and implementation options. As temporal upsampling is becoming increasingly relevant to today's game engines, we propose an extension of our TAA formulation to cover a variety of temporal upsampling techniques. Despite the popularity of TAA, there are still significant unresolved technical challenges that affect image quality in many scenarios. We provide an in‐depth analysis of these challenges, and review existing techniques for improvements. Finally, we summarize popular algorithms and topics that are closely related to TAA. We believe the rapid advances in those areas may either benefit from or feedback into TAA research and development.