# Weakly Supervised Motion Learning for
Co-speech Gesture Video Generation

#### ICLR 2026 [Submission ID: 7934]

Videos for Comparisons Videos for Ablation Studies Videos for Other Identities Long Videos

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Videos for Ablation Studies

On this page, we present videos from different stages of our framework, illustrating its progressive improvements. Stages 1 and 2 effectively capture motion representations but lack fine-grained visual details. Stage 3 refines these details; however, hand artifacts remain. With the addition of hand refinement, our complete method produces visually coherent and artifact-free videos. Moreover, we observe that as hand quality improves, overall visual quality—including facial detail—also benefits. This suggests a strong correlation between hand realism and the overall perceptual quality of generated videos.
Additionally, we present results from Stage 2 without the invertible feature extractor, demonstrating its necessity in our framework. We also provide results where generation relies solely on audio, further emphasizing the limitations of audio-only video synthesis. These experiments validate the effectiveness of our method by underscoring the importance of motion representation learning.

Stage 1 Stage 2 Stage 2 W/o IFE Stage 3 Ours
| Stage 1 Stage 2 Stage 2 W/o IFE Stage 3 Ours | Stage 1 Stage 2 Stage 2 W/o IFE Stage 3 Ours | Stage 1 Stage 2 Stage 2 W/o IFE Stage 3 Ours | W/o Motion Information Ours | W/o Motion Information Ours | W/o Motion Information Ours