Diffusion | Ruize Xia · Artificial Minds, Human Values

Text2Sign

Tue, 14 Jul 2026 00:00:00 +0000

Text2Sign is the public implementation behind the IEEE Access article of the same name. The repository provides a PyTorch training and inference path for short sign-language clips generated from text, using a frozen CLIP text encoder, a 3D backbone, factorized spatiotemporal attention, and DDIM sampling.

The design target is a single NVIDIA L4 GPU rather than a multi-node cluster. Evaluation uses a signer-disjoint How2Sign split so that appearance memorization is harder to confuse with text-conditioned motion.

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On-Device Diffusion Kernels

Sat, 21 Mar 2026 00:00:00 +0000

This project turns Modulated Diffusion (MoDiff) from an operation-count story into a hardware result. The manuscript reports fused low-bit kernels and a cache-update fusion strategy that cuts extra memory traffic during iterative denoising.

On the evaluated setup, the implementation reaches up to 1.8× runtime speedup over FP32 and up to 42.2% lower memory I/O. The public tree lives at , forked from the official ICML 2025 MoDiff codebase and used as the systems implementation path for the paper.

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