130 citations · 149 across the 19 of their papers we have counts for
8 papers · 2 filters
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan +3
We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks. I…
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…
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…
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
Sasikarn Khwanmuang, Pakkapon Phongthawee, Patsorn Sangkloy +1
Our paper seeks to transfer the hairstyle of a reference image to an input photo for virtual hair try-on. We target a variety of challenges scenarios, such as transforming a long h…
Guided Motion Diffusion for Controllable Human Motion Synthesis
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn +1
Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions. However, integrating spatial constraints, such as pre-de…
DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows
Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn
We introduce a novel approach to single-view face relighting in the wild, addressing challenges such as global illumination and cast shadows. A common scheme in recent methods invo…
Zero-guidance Segmentation Using Zero Segment Labels
Pitchaporn Rewatbowornwong, Nattanat Chatthee, Ekapol Chuangsuwanich +1
CLIP has enabled new and exciting joint vision-language applications, one of which is open-vocabulary segmentation, which can locate any segment given an arbitrary text query. In o…
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…