ALL four NeurIPS 2024 submissions from our group have been accepted! We’ve reached a remarkable milestone: EVERY student in our group has published as a first author at top-tier conferences this year, including CVPR, ECCV, SIGGRAPH Asia, and NeurIPS. Congrats to all our students!
Minhyuk Sung
131 posts
- #DiffusionModels 🎓 Our "Diffusion Models and Their Applications" course is now fully available! It includes all the lecture slides, recordings, and hands-on programming assignments. Hope it helps anyone studying diffusion models. 🌐 mhsung.github.io/kaist-cs492d-f…
- #SIGGRAPHAsia2024 🔥 Replace your Marching Cubes code with our Occupancy-Based Dual Contouring to reveal the "real" shape from either a signed distance function or an occupancy function. No neural networks involved. Web: …pancy-based-dual-contouring.github.io
00:00 - In the past fall semester, I taught the "Machine Learning for 3D Data" course at KAIST. This time, I've added new material on 3D generative models. All the slides, recordings, and assignments are now available on the following course webpage: mhsung.github.io/kaist-cs479-fa…
- Seeking an alternative to SDS for NeRF **editing**, not generation? Try our PDS, enabling substantial changes in NeRF, surpassing InstructN2N. Transform a human body into Spider-Man, Batman, Steve Jobs, and more! Project: …erior-distillation-sampling.github.io arXiv: arxiv.org/abs/2311.13831
00:00 - 🚀 I was excited to present a tutorial on "Diffusion Models for Visual Computing" at #Eurographics2024 with Niloy, Danny @DanielCohenOr1, Duygu, Chun-Hao, and Paul. The tutorial website is now live, and you can check out the slides here: geometry.cs.ucl.ac.uk/courses/diffus…
- A huge thank you to Jiaming Song (@baaadas) for delivering a wonderful guest lecture in our "Diffusion Models and Applications" course! He shared valuable insights on video generative models and the future of generative AI. 🎥 youtu.be/u5kk1aXHJpM 📚 mhsung.github.io/kaist-cs492d-f…
- 🚀 Our SIGGRAPH 2024 course on "Diffusion Models for Visual Computing" introduces diffusion models from the basics to applications. Check out the website now. geometry.cs.ucl.ac.uk/courses/diffus… w/ Niloy Mitra, @guerrera_desesp, @OPatashnik, @DanielCohenOr1, Paul Guerrero, and @paulchhuang
- Deeply honored to receive the 2024 Asiagraphics Young Researcher Award! Grateful to all my collaborators for their support and contributions along the way. Link: asiagraphics.org/young2024/
- We are currently seeking undergraduate interns to join our team this winter. Our research is centered around 3D generation, reconstruction, and editing, with a specific focus on generative AI. If this opportunity interests you, please visit this webpage: mhsung.github.io/lab/internship….
- Check out our recent work on #diffusion synchronization, which can be applied to #panorama generation, 3D #texturing, and more, providing the best quality in mesh texturing and also enabling #GaussianSplat texturing! SyncTweedies: synctweedies.github.io 🧵(1/5)
00:00 - I was thrilled to present a talk at the NVIDIA Toronto Lab on my way to NeurIPS 2023, titled "Moving Beyond 3D Generation to Editing with Image Diffusion Priors." Check out the slides using the link below. Slides: shorturl.at/ijTUY
- #CVPR2024 If you’re interested in NeRF/3DGS editing, don’t miss our PDS. Poster #358. Thu morning. Posterior Distillation Sampling Web: …erior-distillation-sampling.github.io
- 🔍 Our KAIST Visual AI group is seeking undergraduate interns to join us this winter. Topics include generative models for visual data, diffusion models/flow-based models, LLMs/VLMs, 3D/geometry, neural rendering, AI for science, and more. 🌐 Web: visualai.kaist.ac.kr/internship/







