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cs.GR2024
Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering
Euntae Choi, Sungjoo Yoo
We propose two novel ideas (adoption of deferred rendering and mesh-based representation) to improve the quality of 3D Gaussian splatting (3DGS) based inverse rendering. We first r…
cs.CV2024
Baking Relightable NeRF for Real-time Direct/Indirect Illumination Rendering
Euntae Choi, Vincent Carpentier, Seunghun Shin +1
Relighting, which synthesizes a novel view under a given lighting condition (unseen in training time), is a must feature for immersive photo-realistic experience. However, real-tim…
cs.LG2024
Breaking MLPerf Training: A Case Study on Optimizing BERT
Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim +11
Speeding up the large-scale distributed training is challenging in that it requires improving various components of training including load balancing, communication, optimizers, et…