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Zexian Li

4 accepted papers

2025

Differentiable Solver Search for Fast Diffusion Sampling

ICML 2025poster

Diffusion models have demonstrated remarkable generation quality but at the cost of numerous function evaluations. Recently, advanced ODE-based solvers have been developed to mitigate the substantial computational demands of reverse-diffusion solving under limited sampling steps. However, these solv…

Cited by 0SourcePDFScholar
2024

Exploring DCN-like architecture for fast image generation with arbitrary resolution

NeurIPS 2024poster

Arbitrary-resolution image generation still remains a challenging task in AIGC, as it requires handling varying resolutions and aspect ratios while maintaining high visual quality. Existing transformer-based diffusion methods suffer from quadratic computation cost and limited resolution extrapolatio…

Cited by 0SourcePDFScholar
2024

G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model

AAAI 2024technical

The Sign Language Production (SLP) project aims to automatically translate spoken languages into sign sequences. Our approach focuses on the transformation of sign gloss sequences into their corresponding sign pose sequences (G2P). In this paper, we present a novel solution for this task by converti…