130 citations · 149 across the 19 of their papers we have counts for
7 papers · 1 filter
DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
Hedi Zisling, Ilan Naiman, Nimrod Berman +2
Unsupervised representation learning, particularly sequential disentanglement, aims to separate static and dynamic factors of variation in data without relying on labels. This rema…
Zero-shot Inexact CAD Model Alignment from a Single Image
Pattaramanee Arsomngern, Sasikarn Khwanmuang, Matthias Nießner +1
One practical approach to infer 3D scene structure from a single image is to retrieve a closely matching 3D model from a database and align it with the object in the image. Existin…
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…
Where Is The Ball: 3D Ball Trajectory Estimation From 2D Monocular Tracking
Puntawat Ponglertnapakorn, Supasorn Suwajanakorn
We present a method for 3D ball trajectory estimation from a 2D tracking sequence. To overcome the ambiguity in 3D from 2D estimation, we design an LSTM-based pipeline that utilize…
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn, Pratch Piyawongwisal, Sira Sriswasdi +1
A flow matching model learns a time-dependent vector field that generates a probability path that interpolates between a well-known noise dis…
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…
LUSD: Localized Update Score Distillation for Text-Guided Image Editing
Worameth Chinchuthakun, Tossaporn Saengja, Nontawat Tritrong +3
While diffusion models show promising results in image editing given a target prompt, achieving both prompt fidelity and background preservation remains difficult. Recent works hav…