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cs.CV2025

Rectified Diffusion Guidance for Conditional Generation

Mengfei Xia, Nan Xue, Yujun Shen +3

Classifier-Free Guidance (CFG), which combines the conditional and unconditional score functions with two coefficients summing to one, serves as a practical technique for diffusion…

cs.CV2025

Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner

Mengfei Xia, Yujun Shen, Changsong Lei +5

A diffusion model, which is formulated to produce an image using thousands of denoising steps, usually suffers from a slow inference speed. Existing acceleration algorithms simplif…

cs.CV2025

A Diffusion Model Translator for Efficient Image-to-Image Translation

Mengfei Xia, Yu Zhou, Ran Yi +2

Applying diffusion models to image-to-image translation (I2I) has recently received increasing attention due to its practical applications. Previous attempts inject information fro…

cs.CV2024

PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstruction

Sheng Ye, Yuze He, Matthieu Lin +8

Neural implicit representations have revolutionized dense multi-view surface reconstruction, yet their performance significantly diminishes with sparse input views. A few pioneerin…

cs.CV2024

TBench: Benchmarking Current Progress in Text-to-3D Generation

Yuze He, Yushi Bai, Matthieu Lin +6

Recent methods in text-to-3D leverage powerful pretrained diffusion models to optimize NeRF. Notably, these methods are able to produce high-quality 3D scenes without training on 3…