3 citations · 6 across the 5 of their papers we have counts for
6 papers
SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
Suttisak Wizadwongsa, Hyelin Nam, Supasorn Suwajanakorn +1
Generating novel renderings of a scene along user-defined camera trajectories from a single monocular video, dubbed video retaking, is a compelling but difficult problem in content…
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models
Suttisak Wizadwongsa, Jinfan Zhou, Edward Li +1
Recent AI-based 3D content creation has largely evolved along two paths: feed-forward image-to-3D reconstruction approaches and 3D generative models trained with 2D or 3D supervisi…
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn +2
Despite the remarkable success of diffusion models in image generation, slow sampling remains a persistent issue. To accelerate the sampling process, prior studies have reformulate…
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
Guided diffusion is a technique for conditioning the output of a diffusion model at sampling time without retraining the network for each specific task. One drawback of diffusion m…
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa +1
Diffusion probabilistic models (DPMs) have achieved remarkable quality in image generation that rivals GANs'. But unlike GANs, DPMs use a set of latent variables that lack semantic…
NeX: Real-time View Synthesis with Neural Basis Expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai +1
We present NeX, a new approach to novel view synthesis based on enhancements of multiplane image (MPI) that can reproduce next-level view-dependent effects -- in real time. Unlike…