Jack Monas
commited on
Commit
·
40ddbbb
1
Parent(s):
907f97d
gif
Browse files
app.py
CHANGED
@@ -328,11 +328,6 @@ def main():
|
|
328 |
"The `world_model_tokenized_data` dataset uses NVIDIA’s Discrete Video 8x8x8 Cosmos Tokenizer to convert raw 256x256 video into tokens. For the Compression Challenge, this tokenizer is mandatory for a consistent benchmark. Alternative tokenizers are permitted for the Sampling and Evaluation Challenges."
|
329 |
)
|
330 |
|
331 |
-
with st.expander("What happens if my Compression Challenge model achieves a loss below 8.0 with MAGVIT after March 1st?"):
|
332 |
-
st.write(
|
333 |
-
"If you submit a Compression Challenge solution using the MAGVIT tokenizer and achieve a loss below 8.0 on our held-out test set, you remain eligible for the original $10K award until August 31, 2025 (six months from March 1st). However, this submission will not qualify for the CVPR/ICCV leaderboard, which uses the Cosmos tokenizer as the new standard."
|
334 |
-
)
|
335 |
-
|
336 |
with st.expander("What metrics are used to evaluate the Sampling Challenge submissions?"):
|
337 |
st.write(
|
338 |
"Submissions are evaluated by comparing the predicted frame (2 seconds ahead) to the ground-truth frame using Peak Signal-to-Noise Ratio (PSNR)."
|
|
|
328 |
"The `world_model_tokenized_data` dataset uses NVIDIA’s Discrete Video 8x8x8 Cosmos Tokenizer to convert raw 256x256 video into tokens. For the Compression Challenge, this tokenizer is mandatory for a consistent benchmark. Alternative tokenizers are permitted for the Sampling and Evaluation Challenges."
|
329 |
)
|
330 |
|
|
|
|
|
|
|
|
|
|
|
331 |
with st.expander("What metrics are used to evaluate the Sampling Challenge submissions?"):
|
332 |
st.write(
|
333 |
"Submissions are evaluated by comparing the predicted frame (2 seconds ahead) to the ground-truth frame using Peak Signal-to-Noise Ratio (PSNR)."
|