Byeongjun Park Kaist Research scientist at everex. byeongjun park has 8 repositories available. follow their code on github. Powered by jekyll and minimal light theme. the minimal light is a simple and elegant jekyll theme for academic personal homepage.
Byeongjun Park Everex Novel view synthesis, diffusion models novel view synthesis, diffusion models. Byeongjun park research scientist at everex verified email at everex.co.kr homepage generative models neural rendering. Harmonyview generates realistic 3d content using just a single image. it excels at maintaining visual and geometric consistency across generated views while enhancing the diversity of novel views, even in complex scenes. This repository contains the official implementation of "redirector: creating any length video retakes with rotary camera encoding", including both training and inference code. 🔥note: you can adjust config parameters using hydra configs here.
Byeongjun Park Everex Harmonyview generates realistic 3d content using just a single image. it excels at maintaining visual and geometric consistency across generated views while enhancing the diversity of novel views, even in complex scenes. This repository contains the official implementation of "redirector: creating any length video retakes with rotary camera encoding", including both training and inference code. 🔥note: you can adjust config parameters using hydra configs here. Splatflow: multi view rectified flow model for 3d gaussian splatting synthesis hyojun go, byeongjun park, jiho jang, jin young kim, soonwoo kwon, changick kim published: 30 dec 2025, last modified: 13 feb 2026 cvpr 2025 diffusion model patching via mixture of prompts seokil ham, sangmin woo, jin young kim, hyojun go, byeongjun park, changick kim. Something went wrong, please refresh the page to try again. if the problem persists, check the github status page or contact support. Our work is first to explore the architectural improvements for diffusion models through the lens of multi task learning. we propose a simple add on strategy, denoising task routing (dtr), that explicitly routes denoising tasks by establishing distinct information pathways for each denoising task. Hi, i want to apply for a space to show a demo of my academic project, harmonyview (project page: byeongjun park.github.io harmonyview ). i'm new to huggingface, so if there's anything i'm missing, please feel free to let me know.
Byeongjun Park Everex Splatflow: multi view rectified flow model for 3d gaussian splatting synthesis hyojun go, byeongjun park, jiho jang, jin young kim, soonwoo kwon, changick kim published: 30 dec 2025, last modified: 13 feb 2026 cvpr 2025 diffusion model patching via mixture of prompts seokil ham, sangmin woo, jin young kim, hyojun go, byeongjun park, changick kim. Something went wrong, please refresh the page to try again. if the problem persists, check the github status page or contact support. Our work is first to explore the architectural improvements for diffusion models through the lens of multi task learning. we propose a simple add on strategy, denoising task routing (dtr), that explicitly routes denoising tasks by establishing distinct information pathways for each denoising task. Hi, i want to apply for a space to show a demo of my academic project, harmonyview (project page: byeongjun park.github.io harmonyview ). i'm new to huggingface, so if there's anything i'm missing, please feel free to let me know.
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