15 citations · 22 across the 5 of their papers we have counts for
5 papers
BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling
Guangya Wan, Zixin Stephen Xu, Sasa Zorc +4
Sampling multiple responses is a common way to improve LLM output quality, but it comes at the cost of additional computation. The key challenge is deciding when to stop generating…
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework
Zehui Lin, Chenxiao Hu, Jinzhu Jia +1
Identifying an appropriate radius for unbiased kernel estimation is crucial for the efficiency of radiance estimation. However, determining both the radius and unbiasedness still f…
Neural Parametric Mixtures for Path Guiding
Honghao Dong, Guoping Wang, Sheng Li
Previous path guiding techniques typically rely on spatial subdivision structures to approximate directional target distributions, which may cause failure to capture spatio-directi…
Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT
Fujia Su, Bingxuan Li, Qingyang Yin +2
Robust light transport algorithms, particularly bidirectional path tracing (BDPT), face significant challenges when dealing with specular or highly glossy involved paths. BDPT cons…
Visual Acuity Consistent Foveated Rendering towards Retinal Resolution
Zhi Zhang, Meng Gai, Sheng Li
Prior foveated rendering methods often suffer from a limitation where the shading load escalates with increasing display resolution, leading to decreased efficiency, particularly w…