1 citations · 2 across the 6 of their papers we have counts for
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DiffusionLight-Turbo: Accelerated Light Probes for Free via Single-Pass Chrome Ball Inpainting
Worameth Chinchuthakun, Pakkapon Phongthawee, Amit Raj +3
We introduce a simple yet effective technique for estimating lighting from a single low-dynamic-range (LDR) image by reframing the task as a chrome ball inpainting problem. This ap…
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Pramook Khungurn, Sukit Seripanitkarn, Phonphrm Thawatdamrongkit +1
Diffusion autoencoders (DAEs) are typically formulated as a noise prediction model and trained with a linear- noise schedule that spends much of its sampling steps at high noise…
DiffusionLight: Light Probes for Free by Painting a Chrome Ball
Pakkapon Phongthawee, Worameth Chinchuthakun, Nontaphat Sinsunthithet +4
We present a simple yet effective technique to estimate lighting in a single input image. Current techniques rely heavily on HDR panorama datasets to train neural networks to regre…
Talking Head(?) Anime from a Single Image 4: Improved Model and Its Distillation
Pramook Khungurn
We study the problem of creating a character model that can be controlled in real time from a single image of an anime character. A solution to this problem would greatly reduce th…
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…